24326 Ml Jobs - Page 30

Experience : 4.00 + years Salary : USD 2500-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with AI/ML-enabled or data-intensive products is a plus, react, RESTAPI, TypeScript, Firebase, Styling frameworks LL is Looking for: Role : Frontend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy teams. Following a comprehensive discovery process, the company is entering its MVP build phase with a clearly defined scope, modern technical architecture, and a growing cross-functional team. This is a rare opportunity for a frontend engineer to contribute from the ground up - shaping architecture, building reusable components, and delivering intuitive, high-impact interfaces in a fast-moving, AI-driven environment. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Frontend Engineer to help build the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to shape the frontend architecture, establish reusable patterns, and create intuitive, high-impact user experiences from day one. You’ll be working in a lean, high-performing cross-functional team alongside Product, Design, Backend, and ML engineers. The MVP has a clearly defined scope and modern architecture (React, TypeScript, Firebase, GCP), and we’re now moving into active development. This role is ideal for someone who enjoys turning complex data and workflows into elegant, responsive UIs. You’ll have direct influence over product usability and technical decisions, with your work immediately visible to users and core to the platform’s early success. Must-Have Experience & Skills Technical/Product 4+ years of experience with React in production environments 2+ years using TypeScript for robust, maintainable code Experience integrating with REST APIs and managing complex UI state Familiarity with authentication flows (Firebase Auth or equivalent) Confidence with component testing frameworks (e.g. React Testing Library) Experience working with styling libraries or frameworks (e.g. Tailwind, Styled Components) Comfortable with CI integration and Git-based workflows Able to translate backend data models and workflows into intuitive UIs Business & Delivery Experience in early-stage product delivery, ideally in SaaS startups Familiarity with AI/ML-enabled or data-intensive products is a plus Understands how to balance speed, usability, and long-term maintainability Soft Skills High autonomy and ownership—able to unblock, prioritise, and execute in a lean environment Strong UX instincts and empathy for end users Clear, concise communicator—able to align quickly with Product and Engineering Calm under pressure, pragmatic, and collaborative Responsibilities Build performant, testable UI components using React and TypeScript Integrate frontend with backend APIs and authentication logic (Firebase) Translate business rules and flows into clean, intuitive UIs Ensure responsive, production-grade UX across platforms and viewports Implement basic frontend telemetry and analytics (e.g. Segment, GTM) Contribute to frontend architecture and reusability to enable rapid iteration Collaborate closely with design, backend, and product leads in Agile ceremonies Identify and escalate risks or blockers proactively Success Criteria Platform UI is intuitive, performant, and production-ready at MVP# Core features (e.g. insight tagging, browsing, content generation) are clearly scoped and well-executed Frontend patterns support future iteration and feature expansion Frontend telemetry supports structured feedback and usage tracking Cross-functional collaboration is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate experience with React, TS, and scalable UI patterns Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Focus on React + TS fluency, architecture approach Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 4.00 + years Salary : USD 2500-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with AI/ML-enabled or data-intensive products is a plus, react, RESTAPI, TypeScript, Firebase, Styling frameworks LL is Looking for: Role : Frontend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy teams. Following a comprehensive discovery process, the company is entering its MVP build phase with a clearly defined scope, modern technical architecture, and a growing cross-functional team. This is a rare opportunity for a frontend engineer to contribute from the ground up - shaping architecture, building reusable components, and delivering intuitive, high-impact interfaces in a fast-moving, AI-driven environment. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Frontend Engineer to help build the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to shape the frontend architecture, establish reusable patterns, and create intuitive, high-impact user experiences from day one. You’ll be working in a lean, high-performing cross-functional team alongside Product, Design, Backend, and ML engineers. The MVP has a clearly defined scope and modern architecture (React, TypeScript, Firebase, GCP), and we’re now moving into active development. This role is ideal for someone who enjoys turning complex data and workflows into elegant, responsive UIs. You’ll have direct influence over product usability and technical decisions, with your work immediately visible to users and core to the platform’s early success. Must-Have Experience & Skills Technical/Product 4+ years of experience with React in production environments 2+ years using TypeScript for robust, maintainable code Experience integrating with REST APIs and managing complex UI state Familiarity with authentication flows (Firebase Auth or equivalent) Confidence with component testing frameworks (e.g. React Testing Library) Experience working with styling libraries or frameworks (e.g. Tailwind, Styled Components) Comfortable with CI integration and Git-based workflows Able to translate backend data models and workflows into intuitive UIs Business & Delivery Experience in early-stage product delivery, ideally in SaaS startups Familiarity with AI/ML-enabled or data-intensive products is a plus Understands how to balance speed, usability, and long-term maintainability Soft Skills High autonomy and ownership—able to unblock, prioritise, and execute in a lean environment Strong UX instincts and empathy for end users Clear, concise communicator—able to align quickly with Product and Engineering Calm under pressure, pragmatic, and collaborative Responsibilities Build performant, testable UI components using React and TypeScript Integrate frontend with backend APIs and authentication logic (Firebase) Translate business rules and flows into clean, intuitive UIs Ensure responsive, production-grade UX across platforms and viewports Implement basic frontend telemetry and analytics (e.g. Segment, GTM) Contribute to frontend architecture and reusability to enable rapid iteration Collaborate closely with design, backend, and product leads in Agile ceremonies Identify and escalate risks or blockers proactively Success Criteria Platform UI is intuitive, performant, and production-ready at MVP# Core features (e.g. insight tagging, browsing, content generation) are clearly scoped and well-executed Frontend patterns support future iteration and feature expansion Frontend telemetry supports structured feedback and usage tracking Cross-functional collaboration is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate experience with React, TS, and scalable UI patterns Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Focus on React + TS fluency, architecture approach Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 4.00 + years Salary : USD 2500-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with AI/ML-enabled or data-intensive products is a plus, react, RESTAPI, TypeScript, Firebase, Styling frameworks LL is Looking for: Role : Frontend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy teams. Following a comprehensive discovery process, the company is entering its MVP build phase with a clearly defined scope, modern technical architecture, and a growing cross-functional team. This is a rare opportunity for a frontend engineer to contribute from the ground up - shaping architecture, building reusable components, and delivering intuitive, high-impact interfaces in a fast-moving, AI-driven environment. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Frontend Engineer to help build the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to shape the frontend architecture, establish reusable patterns, and create intuitive, high-impact user experiences from day one. You’ll be working in a lean, high-performing cross-functional team alongside Product, Design, Backend, and ML engineers. The MVP has a clearly defined scope and modern architecture (React, TypeScript, Firebase, GCP), and we’re now moving into active development. This role is ideal for someone who enjoys turning complex data and workflows into elegant, responsive UIs. You’ll have direct influence over product usability and technical decisions, with your work immediately visible to users and core to the platform’s early success. Must-Have Experience & Skills Technical/Product 4+ years of experience with React in production environments 2+ years using TypeScript for robust, maintainable code Experience integrating with REST APIs and managing complex UI state Familiarity with authentication flows (Firebase Auth or equivalent) Confidence with component testing frameworks (e.g. React Testing Library) Experience working with styling libraries or frameworks (e.g. Tailwind, Styled Components) Comfortable with CI integration and Git-based workflows Able to translate backend data models and workflows into intuitive UIs Business & Delivery Experience in early-stage product delivery, ideally in SaaS startups Familiarity with AI/ML-enabled or data-intensive products is a plus Understands how to balance speed, usability, and long-term maintainability Soft Skills High autonomy and ownership—able to unblock, prioritise, and execute in a lean environment Strong UX instincts and empathy for end users Clear, concise communicator—able to align quickly with Product and Engineering Calm under pressure, pragmatic, and collaborative Responsibilities Build performant, testable UI components using React and TypeScript Integrate frontend with backend APIs and authentication logic (Firebase) Translate business rules and flows into clean, intuitive UIs Ensure responsive, production-grade UX across platforms and viewports Implement basic frontend telemetry and analytics (e.g. Segment, GTM) Contribute to frontend architecture and reusability to enable rapid iteration Collaborate closely with design, backend, and product leads in Agile ceremonies Identify and escalate risks or blockers proactively Success Criteria Platform UI is intuitive, performant, and production-ready at MVP# Core features (e.g. insight tagging, browsing, content generation) are clearly scoped and well-executed Frontend patterns support future iteration and feature expansion Frontend telemetry supports structured feedback and usage tracking Cross-functional collaboration is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate experience with React, TS, and scalable UI patterns Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Focus on React + TS fluency, architecture approach Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 4.00 + years Salary : USD 2500-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with AI/ML-enabled or data-intensive products is a plus, react, RESTAPI, TypeScript, Firebase, Styling frameworks LL is Looking for: Role : Frontend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy teams. Following a comprehensive discovery process, the company is entering its MVP build phase with a clearly defined scope, modern technical architecture, and a growing cross-functional team. This is a rare opportunity for a frontend engineer to contribute from the ground up - shaping architecture, building reusable components, and delivering intuitive, high-impact interfaces in a fast-moving, AI-driven environment. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Frontend Engineer to help build the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to shape the frontend architecture, establish reusable patterns, and create intuitive, high-impact user experiences from day one. You’ll be working in a lean, high-performing cross-functional team alongside Product, Design, Backend, and ML engineers. The MVP has a clearly defined scope and modern architecture (React, TypeScript, Firebase, GCP), and we’re now moving into active development. This role is ideal for someone who enjoys turning complex data and workflows into elegant, responsive UIs. You’ll have direct influence over product usability and technical decisions, with your work immediately visible to users and core to the platform’s early success. Must-Have Experience & Skills Technical/Product 4+ years of experience with React in production environments 2+ years using TypeScript for robust, maintainable code Experience integrating with REST APIs and managing complex UI state Familiarity with authentication flows (Firebase Auth or equivalent) Confidence with component testing frameworks (e.g. React Testing Library) Experience working with styling libraries or frameworks (e.g. Tailwind, Styled Components) Comfortable with CI integration and Git-based workflows Able to translate backend data models and workflows into intuitive UIs Business & Delivery Experience in early-stage product delivery, ideally in SaaS startups Familiarity with AI/ML-enabled or data-intensive products is a plus Understands how to balance speed, usability, and long-term maintainability Soft Skills High autonomy and ownership—able to unblock, prioritise, and execute in a lean environment Strong UX instincts and empathy for end users Clear, concise communicator—able to align quickly with Product and Engineering Calm under pressure, pragmatic, and collaborative Responsibilities Build performant, testable UI components using React and TypeScript Integrate frontend with backend APIs and authentication logic (Firebase) Translate business rules and flows into clean, intuitive UIs Ensure responsive, production-grade UX across platforms and viewports Implement basic frontend telemetry and analytics (e.g. Segment, GTM) Contribute to frontend architecture and reusability to enable rapid iteration Collaborate closely with design, backend, and product leads in Agile ceremonies Identify and escalate risks or blockers proactively Success Criteria Platform UI is intuitive, performant, and production-ready at MVP# Core features (e.g. insight tagging, browsing, content generation) are clearly scoped and well-executed Frontend patterns support future iteration and feature expansion Frontend telemetry supports structured feedback and usage tracking Cross-functional collaboration is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate experience with React, TS, and scalable UI patterns Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Focus on React + TS fluency, architecture approach Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 4.00 + years Salary : USD 2500-2857 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with AI/ML-enabled or data-intensive products is a plus, react, RESTAPI, TypeScript, Firebase, Styling frameworks LL is Looking for: Role : Frontend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy teams. Following a comprehensive discovery process, the company is entering its MVP build phase with a clearly defined scope, modern technical architecture, and a growing cross-functional team. This is a rare opportunity for a frontend engineer to contribute from the ground up - shaping architecture, building reusable components, and delivering intuitive, high-impact interfaces in a fast-moving, AI-driven environment. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Frontend Engineer to help build the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to shape the frontend architecture, establish reusable patterns, and create intuitive, high-impact user experiences from day one. You’ll be working in a lean, high-performing cross-functional team alongside Product, Design, Backend, and ML engineers. The MVP has a clearly defined scope and modern architecture (React, TypeScript, Firebase, GCP), and we’re now moving into active development. This role is ideal for someone who enjoys turning complex data and workflows into elegant, responsive UIs. You’ll have direct influence over product usability and technical decisions, with your work immediately visible to users and core to the platform’s early success. Must-Have Experience & Skills Technical/Product 4+ years of experience with React in production environments 2+ years using TypeScript for robust, maintainable code Experience integrating with REST APIs and managing complex UI state Familiarity with authentication flows (Firebase Auth or equivalent) Confidence with component testing frameworks (e.g. React Testing Library) Experience working with styling libraries or frameworks (e.g. Tailwind, Styled Components) Comfortable with CI integration and Git-based workflows Able to translate backend data models and workflows into intuitive UIs Business & Delivery Experience in early-stage product delivery, ideally in SaaS startups Familiarity with AI/ML-enabled or data-intensive products is a plus Understands how to balance speed, usability, and long-term maintainability Soft Skills High autonomy and ownership—able to unblock, prioritise, and execute in a lean environment Strong UX instincts and empathy for end users Clear, concise communicator—able to align quickly with Product and Engineering Calm under pressure, pragmatic, and collaborative Responsibilities Build performant, testable UI components using React and TypeScript Integrate frontend with backend APIs and authentication logic (Firebase) Translate business rules and flows into clean, intuitive UIs Ensure responsive, production-grade UX across platforms and viewports Implement basic frontend telemetry and analytics (e.g. Segment, GTM) Contribute to frontend architecture and reusability to enable rapid iteration Collaborate closely with design, backend, and product leads in Agile ceremonies Identify and escalate risks or blockers proactively Success Criteria Platform UI is intuitive, performant, and production-ready at MVP# Core features (e.g. insight tagging, browsing, content generation) are clearly scoped and well-executed Frontend patterns support future iteration and feature expansion Frontend telemetry supports structured feedback and usage tracking Cross-functional collaboration is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate experience with React, TS, and scalable UI patterns Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Focus on React + TS fluency, architecture approach Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 5.00 + years Salary : USD 2857-3214 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 5.00 + years Salary : USD 2857-3214 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - LL) What do you need for this opportunity? Must have skills required: Familiarity with integrating or orchestrating AI/ML services is a plus, Python, Node Js, Express Js, Flask, GCP, Firebase, PostgreSQL LL is Looking for: Role : Backend Engineer Overview Client is supporting an innovative early-stage SaaS company that is building a first-of-its-kind AI insights platform for commercial teams. The platform ingests and analyses customer conversations and related sales/marketing data to surface actionable insights—automating work typically handled manually by strategy functions. Following a well-defined discovery and planning process, the company is now moving into its MVP build phase with a modern cloud-native stack and growing cross-functional team. This is a rare opportunity for a backend engineer to help shape the foundational architecture of a greenfield product that blends AI, data pipelines, and workflow orchestration. Engagement Details Start Date: Immediate Location: Fully remote Working Hours: 8h/day, availability required during UK business hours Timezone: GMT/BST preferred About The Project We’re looking for a Backend Engineer to help deliver the first version of a novel, AI-powered insights platform. This is a greenfield opportunity to design and build core backend services, including APIs, data ingestion layers, and the integration of ML-generated outputs into usable workflows. You’ll join a high-performing cross-functional team working across product, ML, frontend, and DevOps. The MVP has a defined scope, clear delivery targets, and modern infrastructure (Python, FastAPI, PostgreSQL, GCP, Firebase). You’ll take ownership of backend components from schema to endpoint, enabling real-time insights and automation at the heart of the product. This role is ideal for someone who thrives on turning complex logic into clean, scalable systems, enjoys API-first thinking, and is excited about collaborating with an ML engineer to deliver AI-powered features that feel deliberate and usable. Must-Have Experience & Skills Technical/Product 5+ years of experience in backend engineering (ideally in SaaS or data-intensive environments) Strong Python skills (Node.js optional but useful) Experience with frameworks like FastAPI, Flask, or Express Solid understanding of REST API design and backend/frontend integration PostgreSQL experience, including schema design and performance optimisation Familiarity with GCP serverless tools (Cloud Functions), containerisation, and Terraform Ability to implement authentication and RBAC (e.g. email-based team scoping) Understanding of CI/CD pipelines and infrastructure collaboration Business & Delivery Experience working in early-stage or MVP environments Ability to balance pragmatism and scalability—understanding when to simplify Familiarity with integrating or orchestrating AI/ML services is a plus Soft Skills High ownership mindset—can operate independently within a lean team Clear, concise communicator who proactively raises blockers or tradeoffs Collaborative, solution-oriented, and calm under pressure Strong attention to detail and bias for delivery Responsibilities Design and implement scalable backend architecture to support MVP and post-MVP growth Build clean, documented REST APIs for: Third-party data ingestion AI-generated insight retrieval Admin and user management ML process triggering (e.g. summarisation, sentiment analysis) Content export workflows Define and optimise relational data models (PostgreSQL) Implement secure, role-based access across user teams Collaborate with ML, frontend, and DevOps teams to ensure seamless delivery Write well-tested code and maintain high-quality documentation Contribute to architectural decisions and long-term platform direction Success Criteria APIs are stable, scalable, and easy for frontend and ML teams to consume Core backend functionality is delivered in line with sprint goals MVP backend supports fast iteration, clean logging, and monitoring Data is reliably stored, served, and secured Collaboration across engineering, product, and delivery is smooth and unblocked Working Practices Agile delivery (methodology TBC) Tooling includes: Jira, Slack, GitHub, Teams Ceremonies: ○ Daily standups (15 mins) ○ Weekly backlog grooming (1 hr) ○ Fortnightly sprint planning, demos, retrospectives (1 hr each) Additional Information Equipment: BYOD Onboarding: Includes intro sessions with team leads across engineering, product, and delivery All work is fully remote. Travel (if ever required) will be covered by the client. Work eligibility excludes candidates in regions subject to UK financial sanctions. Assessment Process CV Review – Validate technical experience Screening Call (20 mins) – Technical screening to understand experience Live Coding Task (1 hr) – Live coding session focused on Python, APIs, and data handling Final Interview (30 mins) – Cultural fit, collaboration instincts, MVP mindset How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Position Title Sr. D&T Analyst – GEMS Function/Group Digital & Technology Location Mumbai Shift Timing Regular Role Reports to D&T Manager Remote/Hybrid/in-Office Hybrid About General Mills We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people. With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow. Job Overview Function Overview The Digital and Technology team at General Mills stands as the largest and foremost unit, dedicated to exploring the latest trends and innovations in technology while leading the adoption of cutting-edge technologies across the organization. Collaborating closely with global business teams, the focus is on understanding business models and identifying opportunities to leverage technology for increased efficiency and disruption. The team's expertise spans a wide range of areas, including AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain, SAP S4 HANA and Enterprise Architecture. The MillsWorks initiative embodies an agile@scale delivery model, where business and technology teams operate cohesively in pods with a unified mission to deliver value for the company. Employees working on significant technology projects are recognized as Digital Transformation change agents. The team places a strong emphasis on service partnerships and employee engagement with a commitment to advancing equity and supporting communities. In fostering an inclusive culture, the team values individuals passionate about learning and growing with technology, exemplified by the "Work with Heart" philosophy, emphasizing results over facetime. Those intrigued by the prospect of contributing to the digital transformation journey of a Fortune 500 company are encouraged to explore more details about the function through the following Link Purpose of the role This position offers an opportunity to contribute to the technology and business solutions team supporting Distributor Markets (DIMA) and India business operations. The role involves assisting with the implementation of digital solutions, supporting project lifecycles, and contributing to operational improvements across Supply Chain, Finance, Sales, and Reporting functions. The ideal candidate will work closely with business stakeholders and technical teams to help translate business requirements into effective technological solutions while developing an understanding of budget management and continuous improvement practices. The role is also accountable for the operational health of solutions and maintaining support, and ensuring business continuity and sustainability. Key Accountabilities Solution Support & Implementation Lead the implementation of digital and technology solutions that align with business goals Support the management of projects within the DIMA and India markets portfolio Learn about technology trends and help develop solutions to improve user experience Participate in process improvement, simplification, and automation initiatives Support project governance and standardization efforts across DIMA markets Business Partnership & Stakeholder Communication Build relationships with key stakeholders across the organization Help gather and understand operational needs of DIMA and the India business Assist in managing stakeholder expectations through regular communication Collaborate with cross-functional teams on solution implementation Prepare updates about market developments and project progress for leadership Project Support Contribute to initiatives across Supply Chain, Finance, Sales, and Reporting Help track and prioritize projects to deliver business value Support product and project delivery through active participation Assist in coordination with contractors and third-party vendors Learn budget management principles and help track project expenses Team Collaboration & Development Work effectively as part of a collaborative team environment Develop skills through mentorship and training opportunities Assist in training key users and documentation preparation Support knowledge management and information sharing Help identify and escalate issues appropriately Technical & Business Support Support the analysis, design, and implementation of data, processes, and technology solutions Assist in maintaining the application and services portfolio Contribute to SAP/Non-SAP setups, data analytics, and growth initiatives Help ensure the continuity and sustainability of technological solutions Support integration efforts across markets and functions Minimum Qualifications Education & Experience Education – Full-time graduation from an accredited university. Bachelor’s degree in computer science, Electronics, Electrical Engineering, or related field 10+ years of relevant professional experience Past hands-on technology experience Technical Skills Broad business and technology expertise General knowledge of ERP processes (P2P, O2C, Q2C) SAP Distributor market experience (SD/MM & FI Integrations) Proficiency in reporting tools (BW, GCP, Tableau) and data analytics Understanding of Business Platform and CPG Data architecture Ability to analyze, design, and support data, processes, and technology Experience with QAD/SAP ERP systems Knowledge of specialized technologies: DMS Tableau Flutter with Mean Stack Transport Management, Lead Management, Sales Force Automation Professional Competencies Strong analytical and problem-solving skills Expertise in leading change management initiatives Strong negotiation, facilitation, and decision-driving capabilities Ability to work in global, multicultural environments Excellent communication and relationship-building skills Demonstrated fiscal discipline and budget management experience High learning agility and comfort with evolving responsibilities Demonstrated ability to work independently and collaboratively Proven ability to manage multiple priorities and deliver results Preferred Qualifications Understanding of CPG industry Track record of driving business transformation Experience in fast-paced, matrix organizational structures Proven ability to overcome complex challenges History of delivering high-impact business outcomes Flexibility to work across time zones and handle occasional extended hours

NLP Engineer - Indian Multilingual AI Systems About the Role We are seeking a skilled NLP Engineer to join our dynamic team focused on building cutting-edge AI solutions for the Indian market. You will work on developing and deploying state-of-the-art natural language processing systems that serve India's diverse linguistic landscape. Key Responsibilities **Model Development & Training** - Design and implement Indian translation models for multiple language pairs - Build and optimize transliteration models for Indian scripts - Fine-tune Open Source large language models (LLaMA, Gemma 3, etc.) for Indian multilingual applications - Develop and enhance Indian ASR (Automatic Speech Recognition) systems - Create robust speech-to-text solutions for Indian languages **System Architecture & Implementation** - Build and maintain multilingual chatbot frameworks - Design and deploy multilingual RAG (Retrieval-Augmented Generation) system pipelines - Develop OCR solutions for Indian document extraction and processing - Implement and optimize voicebot systems for customer interactions - Ensure scalable and efficient model deployment in production environments **Research & Innovation** - Stay current with latest developments in NLP, multilingual AI, and Indian language processing - Experiment with novel architectures and techniques for Indian language understanding - Collaborate with research teams to implement cutting-edge solutions - Contribute to technical documentation and knowledge sharing Required Qualifications **Technical Skills** - Bachelor's or Master's degree in Computer Science, AI/ML, or related field - 2-3+ years of experience in NLP and machine learning - Strong programming skills in Python and relevant ML frameworks (PyTorch, TensorFlow, Hugging Face, Marian NMT) - Experience with transformer models, attention mechanisms, and large language models - Proficiency in speech processing libraries and tools - Knowledge of Indian languages and their computational challenges **Specialized Experience** - Hands-on experience with multilingual model development - Experience with ASR/TTS systems and audio processing and CTC architectures - Familiarity with OCR technologies and document processing pipelines - Knowledge of RAG architectures and vector databases **Soft Skills** - Strong problem-solving and analytical thinking abilities - Excellent communication and collaboration skills - Ability to work in fast-paced, innovative environments - Detail-oriented with strong debugging and optimization skills ## Preferred Qualifications - Experience with model fine-tuning and transfer learning techniques - Knowledge of distributed training and model optimization - Familiarity with cloud platforms (AWS, GCP, Azure) for ML deployment - Experience with MLOps practices Interested candidates can apply via https://a.peoplehum.com/5wbfw

About Zylu Zylu is on a mission to revolutionize how salons grow and operate globally. We help salons simplify bookings, grow revenue, and manage everything in one platform. We’re a small, product-driven team scaling across India and global markets like UAE, Saudi Arabia, and Singapore. Backed by real customers and revenue, we're building fast and lean - and now we’re looking for someone who wants to take charge of tech as we grow. This position offers growth What is in it for me? You will build multi-platform apps for iOS/Android/web using the Flutter development framework You will build high quality and highly flexible solution that evolves every day You will design and develop database, Apis and user interfaces You will learn how to code professionally and industry best practices You will be mentored to get the highest productivity hacks if you are in it You will learn to prioritize and accelerate the development Of course, you will be compensated fairly for your work! A clear path to leadership role based on your performance Autonomy and real ownership from day one Direct collaboration with the founding team A chance to shape a fast-scaling product in a growing market Responsibilities Designing and implementing Flutter-based mobile app PHP/MySql skills are a plus AI and ML skills are a bonus Developing and testing software Resolving technical issues Fixing bugs Growth Path This isn’t just a dev role. We’re hiring someone ready to step up. If you show execution, ownership, and vision, you’ll: Lead and grow the engineering team Own product architecture and tech decisions Build systems for code reviews, testing, and deployments Become a core part of Zylu’s leadership team We're looking for a builder today, tech leader tomorrow. You’re a Great Fit If You Have 2 - 4 years of experience in full-stack development Are confident with Flutter for mobile app development Have solid experience with PHP (Laravel preferred) and MySQL Are comfortable shipping features independently Care about performance, clean code, and reliable systems Are ambitious, proactive, and excited to grow into a leadership role Bonus: You’ve worked in a SaaS startup Hiring Process A short intro call Simple live coding exercise to assess understanding of OOP, DRY and SOLID principles Job Types: Full-time, Permanent Pay: ₹400,000.00 - ₹650,000.00 per year Benefits: Flexible schedule Paid time off Schedule: Day shift Ability to commute/relocate: Doddakallasandra, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required) Application Question(s): How many years of experience in SQL query/Database? How many years of experience in Backend development? If the job requires full-stack experience, would you be open to learning? Experience: SQL: 1 year (Required) Flutter: 1 year (Required) Work Location: In person

Principal Engineer – JavaAbout KanerikaWho We Are Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/LLM, and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth. Awards and Recognitions Kanerika has won several awards over the years, including: CMMI Level 3 Appraised in 2024 Best Place to Work 2022 & 2023 by Great Place to Work® Top 10 Most Recommended RPA Start-Ups in 2022 by RPA Today NASSCOM Emerge 50 Award in 2014 Frost & Sullivan India 2021 Technology Innovation Award for Kompass – our composable solution architecture Recognized for ISO 27701, 27001, SOC2, and GDPR compliances Featured as Top Data Analytics Services Provider by GoodFirms Working for Us Kanerika is rated 4.6/5 on Glassdoor for many good reasons. We truly value our employees' growth, well-being, and diversity. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From inclusive hiring practices and mandatory POSH training to flexible work hours and generous parental leave, we prioritize employee well-being. Our commitment to professional development is reflected in mentorship programs, job training, and support for professional certifications. Company-sponsored outings and liberal time-off policies further support work-life balance. Office Locations: Austin (USA), Singapore, Hyderabad, Indore, and Ahmedabad (India) Job Location for this Role: Hyderabad, India Job Summary We are in search of a proficient Java Lead / Principal Engineer with a minimum of 10 years' experience in designing and developing Java applications. The ideal candidate will demonstrate deep expertise in Java EE, Spring Framework, Hibernate, and at least one major database technology (MySQL, Oracle, or PostgreSQL). You must have a proven track record of delivering scalable, high-quality solutions and leading technical teams in fast-paced environments. We Are Looking for You! You are a team player, a get-it-done individual, intellectually curious, customer-focused, self-motivated, and responsible, with the ability to work under pressure and maintain a positive attitude. You: Have the zeal to think differently and believe in continuous learning Can lead mid-to-large engineering teams and align their efforts with business goals Possess deep technical experience and leadership capabilities Are proactive, methodical, and mentor-driven Lead project planning and implement best practices and scalable technical solutions Inspire a quality-first, innovation-driven engineering culture What You Will Do Design and develop RESTful web services Work hands-on with databases such as Oracle, PostgreSQL, MySQL, or SQL Server Develop web applications using Spring Framework and Spring Boot Build microservices architectures Integrate with real-time messaging frameworks (Kafka or similar) Deploy applications on cloud platforms (AWS, Azure, etc.) Use containerization and CI/CD tools (Docker, Jenkins, GitLab) Follow Agile methodologies and ensure adherence to quality and standards Collaborate with development managers, architects, and cross-functional teams Architect, design, and implement complex enterprise systems What We Need BTech in Computer Science or equivalent Minimum 10+ years of experience in Java/J2EE technologies Strong hands-on experience with Spring Boot, Spring DI, Spring AOP Expertise in RESTful APIs and real-time integrations Experience with Kafka or similar message queuing systems Experience with at least one RDBMS (Oracle, SQL Server, PostgreSQL) Proven leadership in managing high-performing software engineering teams Why Join Us Work with a passionate and innovative team in a high-growth company Be part of real-world, high-impact digital transformation projects Get exposure to GenAI, data engineering, and other cutting-edge domains Competitive compensation and recognition Potential to grow into senior technical leadership Employee Benefits 1. Culture Open-door policy Open office floor plan Flexible working hours Employee referral bonus Bi-annual appraisal process 2. Inclusivity and Diversity Diversity-focused hiring practices Mandatory POSH training 3. Health and Wellness Group medical and term insurance Disability insurance Mental wellness support 4. Family & Parental Benefits Generous parental leave Family medical leave Company-sponsored family events 5. Time-Off and Financial Benefits Company-sponsored outings Paid holidays, sick leave, and generous PTO Provident fund and gratuity Bereavement leave 6. Professional Development Access to FLEX Enterprise Learning Repository Mentorship programs On-the-job training Reimbursements for professional certifications Internal mobility and career growth opportunities Address: Summit Executive Centre, 13706 Research Blvd, Suite 211 D, Austin, TX 78750 www.kanerika.com Job Type: Full-time Benefits: Flexible schedule Health insurance Life insurance Schedule: Day shift Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your current CTC? What is your expected CTC? If you will be/are serving a notice period, how long is the notice period you are to serve? (days) Education: Bachelor's (Required) Experience: Java: 10 years (Required) Work Location: In person Speak with the employer +91 09346505393 Application Deadline: 30/07/2025

202504227 Kolkata, West Bengal, India Bevorzugt Description Role: The role involves developing and optimizing deep learning models to improve operational efficiency, enhancing NLP capabilities, integrating AI solutions with existing systems, and ensuring compliance with industry standards. The candidate will collaborate with cross-functional teams including data scientists, software engineers, product managers, and business stakeholders to define AI solution objectives and deliver impactful results. Qualifications Requirement: The ideal candidate must have a strong academic record, with over 80% marks in both 10th and 12th grades, and a minimum of 80% in all semesters of their Bachelor's and Master's programs. Acceptable degrees include a Master of Statistics or an M.Tech or MCA. in Computer Science with a specialization in AI/ML. A maximum academic gap of one year is permissible only after 12th grade (HSC), with no gaps allowed after 10th (SSC) or during graduation/post-graduation. The candidate should have hands-on experience through academic projects or internships in AI/ML. For example, they may have worked on a deep learning-based image classification project using AI, or developed a chatbot using transformer-based models like BERT or GPT. Internship experience in deploying AI models in real-world scenarios—such as automating customer support using NLP techniques, or optimizing supply chain operations using predictive analytics. We expect proficiency in mathematical principles that underpin AI algorithms, and strong knowledge in generative AI (GenAI), large language models (LLMs), and deep learning. The candidate should be capable of designing and deploying neural network architectures, processing and visualizing complex datasets, and applying natural language processing (NLP) and AI security measures. Proficiency on Python, and relevant AI frameworks (TensorFlow, PyTorch, scikit-learn, LangChain etc.)

Principal Software Engineering Manager-AI/ML Noida, Uttar Pradesh, India Date posted Jul 24, 2025 Job number 1846598 Work site Up to 50% work from home Travel 0-25 % Role type People Manager Profession Software Engineering Discipline Software Engineering Employment type Full-Time Overview Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. This is an exciting time to join our group Customer Experience and work on something highly strategic to Microsoft. The goal of the Customer Experience Engineering is to build the next generation of our applications running on Dynamics 365, AI, Copilot, and several other Microsoft cloud services to drive AI transformation across Marketing, Sales, Services and Support organizations within Microsoft. We innovate quickly and collaborate closely with our partners and customers in an agile, high-energy environment. Leveraging the scalability and value from Azure & Power Platform, we ensure our solutions are robust and efficient. Our organization’s implementation acts as reference architecture for large companies and helps drive product capabilities. Do you want to lead the design and development of mission-critical platforms at Microsoft? The Marketing Engineering team is building the next generation of marketing and store experiences, leveraging AI to transform content generation, personalization, and delivery. We are looking for a Principal Engineering Manager who will grow talent, foster team culture, and drive software development & service excellence in our organization. As a member of our growing org, you will play an integral part in making that happen, navigating us into the future and impacting the lives of people all around the world. This role offers the chance to work on innovative solutions, influence the technical direction of the team, and mentor other engineers to deliver scalable, secure, and reliable platforms. Join us to make a meaningful impact at Microsoft while working on cutting-edge technology. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Qualifications Basic Qualifications: Knowledge of machine learning algorithms and concepts (e.g., supervised learning, unsupervised learning, deep learning) as applied to generative AI. 3+ years of people management experience in software engineering domain. 3+ years of professional experience in technical role developing, training, evaluating and deploying ML solutions at scale for real-world problems 10+ years of professional software development experience, with a proven track record of designing and delivering large-scale, distributed systems. Proficiency in programming languages such as Python, C#, or Java. Deep knowledge of cloud platforms (Azure, AWS, GCP) and modern software development practices (e.g., microservices, CI/CD, DevOps). Demonstrated ability to lead and mentor engineering teams, fostering a collaborative and high-performing culture. Excellent problem-solving skills and ability to handle ambiguity in technical requirements. Excellent cross-group and interpersonal skills, with the ability to articulate solutions. Bachelor's or master's degree with relevant coursework in Computer Science, Data Science, Statistics, Machine Learning, Data Mining, or equivalent work experience. Preferred Qualifications: Experience in designing and implementing MLOps strategies for model deployment, monitoring, and governance. Familiarity in deep learning architectures (Transformers, CNNs, RNNs) and knowledge of Natural Language Processing (NLP) Experience with AI/ML technologies, frameworks (e.g., TensorFlow, PyTorch), and their application to real-world problems. Knowledge of containers (Docker) and orchestration tools like Kubernetes. Strong analytical mind and a confident decision maker Excellent computer science fundamentals in algorithmic design, data structures, and analyzing complexity Ability to balance competing demands and adapt to changing priorities Experience mentoring junior engineers and data scientists, providing technical guidance and code reviews Designing and implementing applications using Low Code/No Code platforms would be a plus – nice to have Be part of an innovative team where you can lead, mentor, and make lasting impact. Join us in shaping the future of marketing experiences at Microsoft! #BICJobs Responsibilities Lead, mentor, and manage a team of software engineers to design, develop, and implement robust and scalable software applications that utilize generative AI techniques. Drive the integration of AI and machine learning capabilities to enhance platform functionality. Provide technical leadership, ensuring adherence to best practices, coding standards, and quality benchmarks. Identify opportunities to improve and optimize existing systems using generative AI. Define and drive the technical roadmap, aligning with business goals and organizational priorities. Mentor and coach engineers at all levels to grow their technical skills and foster a high-performing team. Partner with cross-functional teams to define requirements, solve complex technical challenges, and deliver solutions on time. Collaborate with stakeholders to establish metrics for success and continuously improve system performance. Stay informed on industry trends and emerging technologies to bring innovative solutions to the team. Embody our Culture and Values Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Indore, Madhya Pradesh, India;Noida, Uttar Pradesh, India;Bangalore, Karnataka, India;Pune, Maharashtra, India;Hyderabad, Telangana, India;Gurgaon, Haryana, India Qualification : Required Skills & Experience 8 to 12 years of experience in DevOps with a strong focus on Azure. Hands-on experience with Azure networking, VNET integration, service principle and firewall rules. Hands-on experience on creating architectures and deployment diagram. Expertise in CI/CD pipeline development for Databricks and ML models using Azure DevOps, Terraform, or GitHub Actions. Familiar with Databricks Asset Bundles (DAB) for packaging and deployment. Proficiency in RBAC, Unity Catalog, and workspace access control. Experience with Infrastructure as Code (IaC) tools like Terraform, ARM Templates. Strong scripting skills in Python, Bash, or PowerShell. Strong experience with monitoring tools (Azure Monitor, Prometheus, or Datadog). Skills Required : azure, databricks, devops Role : We are seeking a Lead DevOps Engineer – Databricks with strong experience in Azure Databricks to design, implement, and optimize infrastructure, CI/CD pipelines, and ML model deployment. The ideal candidate will be responsible for Azure environment setup, networking, cluster management, access control, CI/CD automation, model deployment, asset bundle management, and monitoring. Leading team of 3-4 DevOps engineers. Should be able to create flow, deployment and architecture diagram. Understanding customer requirement and sharing with team members. This role requires hands-on experience with DevOps best practices, infrastructure automation, and cloud-native architectures. Experience : 8 to 12 years Job Reference Number : 13129

Software Engineer II (Data) Hyderabad, Telangana, India Date posted Jul 24, 2025 Job number 1850170 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Software Engineering Discipline Software Engineering Employment type Full-Time Overview Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. This is an exciting time to join our group BIC Customer Experience and work on something highly strategic to Microsoft. The goal of the Customer Zero Engineering is to build the next generation of our applications running on Dynamics 365, AI, Copilot, and several other Microsoft cloud services to drive AI transformation across Marketing, Sales, Services and Support organizations within Microsoft. We innovate quickly and collaborate closely with our partners and customers in an agile, high-energy environment. Leveraging the scalability and value from Azure & Power Platform, we ensure our solutions are robust and efficient. Our organization’s implementation acts as reference architecture for large companies and helps drive product capabilities. If the opportunity to collaborate with a diverse engineering team, on enabling end-to-end business scenarios using cutting-edge technologies and to solve challenging problems for large scale 24x7 business SaaS applications excite you, please come and talk to us! We are looking for talented and motivated data engineers interested in helping our organization empower learners through producing valuable data that can be used to understand the organization's needs to make the right decisions. We want you for your passion for technology, your curiosity and willingness to learn, your ability to communicate well in a team environment, your desire to make our team better with your contributions, and your ability to deliver. We use industry-standard technology: C#, JavaScript/Typescript, HTML5, ETL/ELT, Data warehousing, and/ or Business Intelligence Development. Qualifications Required: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 3+ years experience in business analytics, software development, data modeling or data engineering work. Software development using languages like C#, JavaScript or Java. Experience using a variety of data stores, including data warehouses, RDBMS, in-memory caches, and document Databases. Proficiency with SQL and NoSQL and hands-on experience using distributed computing platforms. Experience developing on cloud platforms (i.e. Azure, AWS) in a continuous delivery environment. Strong problem solving, design, implementation, and communication skills. Strong intellectual curiosity and passion for learning new technologies. Preferred Qualifications: Experience with data engineering projects with firm sense of accountability and ownership. Experience in ETL/ELT, Data warehousing, data pipelines and/ or Business Intelligence Development. Experience using ML, anomaly detection, predictive analysis, exploratory data analysis. A strong understanding of the value of Data, data exploration and the benefits of a data-driven organizational culture. Business Intelligence experience or visualization with tools such as Power BI is also beneficial. Experience implementing data systems in C#/Python/Scala or similar. Working knowledge of any (or multiple) of the following tech stacks is a plus: SQL, Databricks, PySparkSQL, Azure Synapse, Azure Data Factory, Azure Fabric, or similar. Basic Knowledge of Microsoft Dynamics Platform will be an added advantage. #BICJobs Responsibilities Implement scalable data models, data pipelines, data storage, management, and transformation solutions for real-time decisioning, reporting, data collecting, and related functions. Leveraging machine learning(ML) models knowledge and implement appropriate solutions for business objectives. Ship high-quality, well-tested, secure, and maintainable code. Develop and maintain software designed to improve data governance and security. Troubleshoot and resolve issues related to data processing and storage. Collaborate effectively with teammates, other teams and disciplines and drive improvements in engineering. Creates and implements code for a product, service, or feature, reusing code as applicable. Contributes to efforts to break down larger work items into smaller work items and provides estimation. Troubleshooting live site issues as part of both product development and Designated Responsible Individual (DRI) during live site rotations. Remains current in skills by investing time and effort into staying abreast of latest technologies. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Category Engineering Experience Principal Associate Primary Address Bangalore, Karnataka Overview Voyager (94001), India, Bangalore, Karnataka Principal Associate- Fullstack Engineering Job Description Generative AI Observability & Governance for ML Platform At Capital One India, we work in a fast paced and intellectually rigorous environment to solve fundamental business problems at scale. Using advanced analytics, data science and machine learning, we derive valuable insights about product and process design, consumer behavior, regulatory and credit risk, and more from large volumes of data, and use it to build cutting edge patentable products that drive the business forward. We’re looking for a Principal Associate, Full Stack to join the Machine Learning Experience (MLX) team! As a Capital One Principal Associate, Full Stack, you'll be part of a team focusing on observability and model governance automation for cutting edge generative AI use cases. You will work on building solutions to collect metadata, metrics and insights from the large scale genAI platform. And build intelligent and smart solutions to derive deep insights into platform's use-cases performance and compliance with industry standards. You will contribute to building a system to do this for Capital One models, accelerating the move from fully trained models to deployable model artifacts ready to be used to fuel business decisioning and build an observability platform to monitor the models and platform components. The MLX team is at the forefront of how Capital One builds and deploys well-managed ML models and features. We onboard and educate associates on the ML platforms and products that the whole company uses. We drive new innovation and research and we’re working to seamlessly infuse ML into the fabric of the company. The ML experience we're creating today is the foundation that enables each of our businesses to deliver next-generation ML-driven products and services for our customers. What You’ll Do: Lead the design and implementation of observability tools and dashboards that provide actionable insights into platform performance and health. Leverage Generative AI models and fine tune them to enhance observability capabilities, such as anomaly detection, predictive analytics, and troubleshooting copilot. Build and deploy well-managed core APIs and SDKs for observability of LLMs and proprietary Gen-AI Foundation Models including training, pre-training, fine-tuning and prompting. Work with model and platform teams to build systems that ingest large amounts of model and feature metadata and runtime metrics to build an observability platform and to make governance decisions to ensure ethical use, data integrity, and compliance with industry standards for Gen-AI. Partner with product and design teams to develop and integrate advanced observability tools tailored to Gen-AI. Collaborate as part of a cross-functional Agile team,data scientists, ML engineers, and other stakeholders to understand requirements and translate them into scalable and maintainable solutions. Bring research mindset, lead Proof of concept to showcase capabilities of large language models in the realm of observability and governance which enables practical production solutions for improving platform users productivity. Basic Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. At least 4 years of experience designing and building data intensive solutions using distributed computing with deep understanding of microservices architecture. At least 4 years of experience programming with Python, Go, or Java Proficiency in observability tools such as Prometheus, Grafana, ELK Stack, or similar, with a focus on adapting them for Gen AI systems. Excellent knowledge in Open Telemetry and priority experience in building SDKs and APIs. Hands-on experience with Generative AI models and their application in observability or related areas. Excellent knowledge in Open Telemetry and priority experience in building SDKs and APIs. At least 2 years of experience with cloud platforms like AWS, Azure, or GCP. Preferred Qualifications: At least 4 years of experience building, scaling, and optimizing ML systems At least 3 years of experience in MLOps either using open source tools like MLFlow or commercial tools At least 2 Experience in developing applications using Generative AI i.e open source or commercial LLMs, and some experience in latest open source libraries such as LangChain, haystack and vector databases like open search, chroma and FAISS. Preferred prior experience in leveraging open source libraries for observability such as langfuse, phoenix, openInference, helicone etc. Contributed to open source libraries specifically GEN-AI and ML solutions Authored/co-authored a paper on a ML technique, model, or proof of concept Preferred experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. Prior experience in NVIDIA GPU Telemetry and experience in CUDA Knowledge of data governance and compliance, particularly in the context of machine learning and AI systems. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). This carousel contains a column of headings. Selecting a heading will change the main content in the carousel that follows. Use the Previous and Next buttons to cycle through all the options, use Enter to select. This carousel shows one item at a time. Use the preceding navigation carousel to select a specific heading to display the content here. How We Hire We take finding great coworkers pretty seriously. Step 1 Apply It only takes a few minutes to complete our application and assessment. Step 2 Screen and Schedule If your application is a good match you’ll hear from one of our recruiters to set up a screening interview. Step 3 Interview(s) Now’s your chance to learn about the job, show us who you are, share why you would be a great addition to the team and determine if Capital One is the place for you. Step 4 Decision The team will discuss — if it’s a good fit for us and you, we’ll make it official! How to Pick the Perfect Career Opportunity Overwhelmed by a tough career choice? Read these tips from Devon Rollins, Senior Director of Cyber Intelligence, to help you accept the right offer with confidence. Your wellbeing is our priority Our benefits and total compensation package is designed for the whole person. Caring for both you and your family. Healthy Body, Healthy Mind You have options and we have the tools to help you decide which health plans best fit your needs. Save Money, Make Money Secure your present, plan for your future and reduce expenses along the way. Time, Family and Advice Options for your time, opportunities for your family, and advice along the way. It’s time to BeWell. Career Journey Here’s how the team fits together. We’re big on growth and knowing who and how coworkers can best support you.

R021124 Bengaluru, Karnataka, India Engineering Regular Location Details: India (Remote) At GoDaddy, the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. Remote: This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team If you are passionate about machine learning and want to make a difference for millions of small businesses, join our DnAI (Data and Artificial Intelligence) team at GoDaddy as a Senior Machine Learning Scientist. You will have the opportunity to build cutting-edge machine learning models for Pricing + Bundling, and Generative AI projects. You will work closely with ML engineers to develop ML pipelines to solve high-impact problems. You will also collaborate with other platform teams to ensure the quality and reliability of our ML solutions. What you'll get to do... Develop and implement advanced machine learning algorithms for Pricing and Generative AI projects using PyTorch. Design and refine ML models to enhance their performance, scalability, and robustness. Analyze and interpret complex data sets to inform model development and ensure accuracy and effectiveness. Stay abreast of the latest developments in machine learning and artificial intelligence, integrating new methodologies and techniques as appropriate. Contribute to the development of standardized processes for model evaluation, validation, and deployment to production environments and collaborate with cross-functional teams to integrate ML solutions within broader product and platform initiatives. Drive the exploration and adoption of cutting-edge ML technologies to maintain our competitive edge in the industry. Your experience should include... 4+ years of overall experience and 2+ years of experience in machine learning engineering or related roles. Strong knowledge of machine learning algorithms, tools, and techniques, such as supervised and unsupervised learning, deep learning, computer vision, natural language processing, etc. Proficient in Python programming language with familiarity with software engineering best practices, such as version control, code review, CI/CD, etc. Experience in writing unit tests and documentation for ML code. You might also have... Master’s degree or PhD in computer science, engineering, statistics, or related fields. Familiarity with prompt engineering and large language models (LLM) is a plus. Proficiency in multiple programming languages. Understanding of containerization technologies like Docker and orchestration tools like Airflow. We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy’s benefits vary based on individual role and location and can be reviewed in more detail during the interview process. We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page. GoDaddy is proud to be an equal opportunity employer . GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy. Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com. GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

Category Engineering Experience Principal Associate Primary Address Bangalore, Karnataka Overview Voyager (94001), India, Bangalore, Karnataka Principal Associate- Fullstack Engineering Job Description Generative AI Observability & Governance for ML Platform At Capital One India, we work in a fast paced and intellectually rigorous environment to solve fundamental business problems at scale. Using advanced analytics, data science and machine learning, we derive valuable insights about product and process design, consumer behavior, regulatory and credit risk, and more from large volumes of data, and use it to build cutting edge patentable products that drive the business forward. We’re looking for a Principal Associate, Full Stack to join the Machine Learning Experience (MLX) team! As a Capital One Principal Associate, Full Stack, you'll be part of a team focusing on observability and model governance automation for cutting edge generative AI use cases. You will work on building solutions to collect metadata, metrics and insights from the large scale genAI platform. And build intelligent and smart solutions to derive deep insights into platform's use-cases performance and compliance with industry standards. You will contribute to building a system to do this for Capital One models, accelerating the move from fully trained models to deployable model artifacts ready to be used to fuel business decisioning and build an observability platform to monitor the models and platform components. The MLX team is at the forefront of how Capital One builds and deploys well-managed ML models and features. We onboard and educate associates on the ML platforms and products that the whole company uses. We drive new innovation and research and we’re working to seamlessly infuse ML into the fabric of the company. The ML experience we're creating today is the foundation that enables each of our businesses to deliver next-generation ML-driven products and services for our customers. What You’ll Do: Lead the design and implementation of observability tools and dashboards that provide actionable insights into platform performance and health. Leverage Generative AI models and fine tune them to enhance observability capabilities, such as anomaly detection, predictive analytics, and troubleshooting copilot. Build and deploy well-managed core APIs and SDKs for observability of LLMs and proprietary Gen-AI Foundation Models including training, pre-training, fine-tuning and prompting. Work with model and platform teams to build systems that ingest large amounts of model and feature metadata and runtime metrics to build an observability platform and to make governance decisions to ensure ethical use, data integrity, and compliance with industry standards for Gen-AI. Partner with product and design teams to develop and integrate advanced observability tools tailored to Gen-AI. Collaborate as part of a cross-functional Agile team,data scientists, ML engineers, and other stakeholders to understand requirements and translate them into scalable and maintainable solutions. Bring research mindset, lead Proof of concept to showcase capabilities of large language models in the realm of observability and governance which enables practical production solutions for improving platform users productivity. Basic Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. At least 4 years of experience designing and building data intensive solutions using distributed computing with deep understanding of microservices architecture. At least 4 years of experience programming with Python, Go, or Java Proficiency in observability tools such as Prometheus, Grafana, ELK Stack, or similar, with a focus on adapting them for Gen AI systems. Excellent knowledge in Open Telemetry and priority experience in building SDKs and APIs. Hands-on experience with Generative AI models and their application in observability or related areas. Excellent knowledge in Open Telemetry and priority experience in building SDKs and APIs. At least 2 years of experience with cloud platforms like AWS, Azure, or GCP. Preferred Qualifications: At least 4 years of experience building, scaling, and optimizing ML systems At least 3 years of experience in MLOps either using open source tools like MLFlow or commercial tools At least 2 Experience in developing applications using Generative AI i.e open source or commercial LLMs, and some experience in latest open source libraries such as LangChain, haystack and vector databases like open search, chroma and FAISS. Preferred prior experience in leveraging open source libraries for observability such as langfuse, phoenix, openInference, helicone etc. Contributed to open source libraries specifically GEN-AI and ML solutions Authored/co-authored a paper on a ML technique, model, or proof of concept Preferred experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. Prior experience in NVIDIA GPU Telemetry and experience in CUDA Knowledge of data governance and compliance, particularly in the context of machine learning and AI systems. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Information Date Opened 07/24/2025 Industry Technology Job Type Full time Work Experience 8 City Bangalore North State/Province Karnataka Country India Zip/Postal Code 560037 Job Description Decision Minds is a leader in Data Cloud, Big Data, Cloud Analytics, AI/ML, and Multi-Cloud deployments. We are a team of passionate thought leaders and industry experts who strive for excellence and clarity in creating innovative solutions and products. Our goal is to revolutionize Data Analytics, Artificial Intelligence, Cloud Computing, and Robotic Process Automation, and make a positive impact on people's lives. Know more about us at www.decisionminds.com | LinkedIn Job Description : Job Title: HR Manager Location: Brookfield, Bangalore Notice Period: Immediate to 30 days’ notice period Mode of work: Work from office (5 days) Role Overview: We are seeking a dynamic and experienced HR manager to lead our Human Resources department. The ideal candidate will be responsible for overseeing all HR functions including India and US operations, policies, and programs, ensuring alignment with company objectives and compliance with employment laws. This role reports directly to the CPO. Key Responsibilities: Develop and implement HR strategies and initiatives aligned with the overall business strategy Bridge management and employee relations by addressing demands, grievances, or other issues. Guide the TA division with forecasting and retention strategies along with employee mapping and succession planning. Support current and future business needs through development, engagement, motivation, and preservation of human capital. Oversee and manage a performance management system. Assess training needs to apply and monitor training programs. Manage onboarding to exit processes and ensure smooth transitions and capture insights for continuous improvement. Foster a positive and inclusive workplace culture and drive employee engagements independently. Ensure legal compliance throughout human resource management and the company. Requirements: Proven experience as an HR manager for 9 to 15 years or other senior HR/ HRBP role Demonstrable experience with human resources metrics and advance reporting. Ability to architect strategy along with leadership skills Excellent active listening, negotiation, and presentation skills In-depth knowledge of labor law and HR best practices of the industry, (preferably IT and consulting industry) Degree in Human Resources or related field with HR certifications is preferred. Looking only for immediate joiners and ready to work from office mode.

Designation: Assistant Manager Experience: 5 to 8 years Location: Chennai, Tamil Nadu, India (CHN) Job Description: +5 years of experience working in web, product, marketing, or other related analytics fields to solve for marketing/product business problems +4 years of experience in designing and executing experiments (A/B and multivariate) with a deep understanding of the stats behind hypothesis testing Proficient in alternative A/B testing methods like DiD, Synthetic control and other causal inference techniques +5 years of technical proficiency in SQL, Python or R and data visualization tools like tableau +5 years of experience in manipulating and analyzing large complex datasets (e.g. clickstream data), constructing data pipelines (ETL) and working on big data technologies (e.g., Redshift, Spark, Hive, BigQuery) and solutions from cloud platforms and visualization tools like Tableau +3 years of experience in web analytics, analyzing website traffic patterns and conversion funnels +5 years of experience in building ML models (eg: regression, clustering, trees) for personalization applications Demonstrate ability to drive strategy, execution and insights for AI native experiences across the development lifecycle (ideation, discovery, experimentation, scaling) Outstanding communication skills with both technical and non-technical audiences Ability to tell stories with data, influence business decisions at a leadership level, and provide solutions to business problems Ability to manage multiple projects simultaneously to meet objectives and key deadlines Responsibilities: Drive measurement strategy and lead E2E process of A/B testing for areas of web optimization such as landing pages, user funnel, navigation, checkout, product lineup, pricing, search and monetization opportunities Analyze web user behavior at both visitor and session level using clickstream data by anchoring to key web metrics and identify user behavior through engagement and pathing analysis Leverage AI/GenAI tools for automating tasks and building custom implementations Use data, strategic thinking and advanced scientific methods including predictive modeling to enable data-backed decision making for Intuit at scale Measure performance and impact of various product releases Demonstrate strategic thinking and systems thinking to solve business problems and influence strategic decisions using data storytelling. Partner with GTM, Product, Engineering, Design, Engineering teams to drive analytics projects end to end Build models to identify patterns in traffic and user behavior to inform acquisition strategies and optimize for business outcomes Skills: 5 to 8 years in the DA domain web, product, marketing, A/B testing methods like DiD, Synthetic control, constructing data pipelines (ETL), big data technologies (e.g., Redshift, Spark, Hive, BigQuery),SQL, Python or R and tableau, web analytics, analyzing website traffic patterns and conversion funnels, ML models (eg: regression, clustering, trees), Managerial skills Job Snapshot Updated Date 24-07-2025 Job ID J_3934 Location Chennai, Tamil Nadu, India Experience 5 - 8 Years Employee Type Permanent

Bengaluru, Karnataka Job ID JR2025464648 Category Engineering - Electronic and Electrical Role Type Onsite Post Date Jul. 24, 2025 Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures, and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability, and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality, and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring Inclusive perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. At Boeing, we are inclusive and transformative. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Boeing India Engineering has an immediate opening for an Engineering Manager - Digital Circuitswho will be responsible for development and management of engineers in India to perform engineering work-statements for Boeing product life cycle management. This position will work collaboratively with teams from across the globe in an integrated design environment to help deliver an engineering statement of work. The selected individual will develop and handle Engineers, interact with the program leaders from across the globe, with a vision to grow ownership in execution with their team. This position will be in Bengaluru, India , and will be reporting directly to the Sr. Electronic Manager, India. Primary Responsibilities: Manage employees performing engineering and technical activities in the areas of ASIC/FPGA verification and design. Develops and executes integrated departmental plans, policies and procedures and provides input on departmental business and technical strategies, goals, objectives. Acquires resources for department activities, provides technical management of suppliers and leads process improvements. Develops and maintains relationships and partnerships with customers, stakeholders, peers, partners and direct reports. Provides oversight and approval of technical approaches, products and processes. Provides project/Activity planning, and key milestone tracking. Manages post silicon debug support activities for validation, SW development and Test Team. Manages directly (including people reporting) the RTL, DV and DFT primarily. Integrated PD and Emulation activities Understand complex protocols and create implementable objectives for team, Protocols would include PCIe, ARINC, MIL 1553, USB, I2C and other proprietary protocols related to space and flight systems Manages, develops and motivates employees along with functional capability planning. Build capability and capacity upon SV & UVM. Nurture directed test case scenarios using VHDL and similar platforms. Should have strong verbal and written communication skills. Basic Qualifications (Required skills/experience): Bachelor’s degree or higher is required At least 12 years of experience in Digital IC design and verification, involved in at least 3 Chip Tape outs or equivalents. Proficient in tools such as Vmanager and similar tools with other EDA vendors to track and maintain verification workflow metrics for the team. Proficient in concepts such as cross domain clock sync, polymorphism. Proficient in validating the verification workflow with available limitations on tools and resources to provide maximum functional coverage on priority. Demonstrated success leading development efforts, including project management and earned value tracking. Preferred Qualifications (Desired skills/experience): Experience leading or managing in an engineering organization. Familiarity with FAA DO-254 certification. Familiar with Emulation and Safety Flow Analysis Familiar in Formal Verification techniques Familiar in Design Concepts US Person as defined by 22 C.F.R § 120.15 is advantageous. Familiar with LOR verification based VCRM structure Typical Education & Experience: Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 13 to 16 years' related work experience or an equivalent combination of education and experience (e.g. Master+12 years of related work experience etc.) Applications for this position will be accepted until Aug. 02, 2025 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews. Your Benefits No matter where you are in life, our benefits help prepare you for the present and the future. Competitive base pay and incentive programs. Industry-leading tuition assistance program pays your institution directly. Resources and opportunities to grow your career. Up to $10,000 match when you support your favorite nonprofit organizations.

Staff AI Engineer Bangalore, Karnataka Opportunity: Get Well is seeking a highly skilled and proficient Staff Engineer - AI Engineering to drive the development and implementation of advanced AI solutions. This role focuses on the technical execution of AI projects, leveraging expertise in Large Language Models (LLMs), multimodal AI systems, and agentic systems to create innovative healthcare solutions. You will work closely with AI engineering teams, product teams, and cross-functional stakeholders to translate technological capabilities into impactful healthcare solutions, serving as a key technical liaison. This position reports directly to the VP, Product Development, working collaboratively across multiple teams to advance the organization's AI capabilities and strategic objectives. Responsibilities: AI Solution Development Design, develop, and implement AI solutions leveraging unimodal and multimodal Large Language Models (LLMs) and agentic systems. Develop and integrate agentic systems using frameworks like CrewAI, LangChain, and LangGraph to enable autonomous decision-making and workflow automation. Enhance product ecosystems by incorporating emerging AI technologies to improve functionality and user experience. Execute model training, fine-tuning, and optimization of inference engines for high-performance AI systems. Ensure technical excellence in AI solution design and implementation. Evaluate and integrate emerging AI technologies into existing systems. Cross-Functional Collaboration Serve as primary technical liaison between AI engineering teams and product teams Translate technical capabilities into product requirements and user-centric solutions Help facilitate communication and alignment across engineering, product, and clinical teams Drive collaborative innovation and knowledge sharing Infrastructure and Optimization Optimize cloud-based AI infrastructure for scalability, performance, and reliability. Implement best practices for efficient AI system deployment and maintenance, including agentic workflows. Performance and Quality Assurance Establish and maintain rigorous testing and validation protocols for AI models Drive continuous improvement in AI model accuracy, efficiency, and robustness. Monitoring and Observability Implement and manage monitoring solutions for AI systems using tools such as Langfuse, Prometheus, Grafana, or equivalent platforms to ensure operational health and performance. Analyze observability data to identify and resolve issues in AI model behavior, agentic system performance, and system reliability. Develop proactive monitoring strategies to detect anomalies and ensure reliability of AI deployments. Compliance and Ethical AI Ensure AI solutions adhere to healthcare regulatory standards and data privacy requirements (e.g., HIPAA, GDPR) Develop and enforce ethical AI guidelines to mitigate biases Uphold high standards for secure handling of sensitive information, including ePHI and PHI, per federal, state, and local regulations. Requirements: Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, or a closely related technical field Total 8-12 years experience with minimum 3+ years of technical leadership experience in AI/ML technologies Proven track record of delivering complex AI solutions in healthcare or technologically advanced domains Deep technical proficiency in: Large Language Model (LLM) architectures Multimodal AI system design Agentic system development using frameworks like CrewAI, LangChain, and LangGraph. Machine learning model training and fine-tuning Cloud computing infrastructure (AWS preferred) AI/ML frameworks and development tools (e.g., TensorFlow, PyTorch, Hugging Face) AI monitoring and observability tools such as Langfuse, Prometheus, Grafana, or equivalent platforms. Strong programming skills in Python, C++, or other relevant languages. Experience in agile and adaptive project management methodologies Exceptional problem-solving and analytical skills, with a focus on delivering scalable solutions. Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Collaborative mindset with experience working in cross-functional teams. Ability to mentor junior engineers and contribute to team development. Knowledge of healthcare technology landscapes and regulatory environments (e.g., HIPAA, GDPR) is a plus. Awareness of emerging AI technologies, including agentic systems, MCP, A2A protocol and their potential applications. Adaptability to work in fast-evolving technological environments. Commitment to adhering to organizational information security policies and protecting sensitive information, including ePHI and PHI, in accordance with Federal, State, and local regulations. About Get Well: Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well's award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter. Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status. About SAI Group: SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-futu re.html Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia) TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

Bengaluru, Karnataka Job ID JR2025462098 Category Information Technology Role Type Onsite Post Date Jul. 24, 2025 Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the seabed to outer space, you’ll learn and grow, contributing to work that shapes the world. Find your future with us Boeing ITD&S is currently looking for Lead SAP GTS Functional Analyst to join their Functional team in Bangalore, India. This position will focus on implementation and support of SAP projects based on S4 Hana technology. A successful candidate will understand the importance of collaboration as this position will focus on working directly with multiple stakeholders including business, solution architects and developers to implement SAP projects. This role will be based out of Bangalore , India . Position Responsibilities Act as the primary point of contact for all GTS-related processes. Responsible for leading requirements validation, workshops, development of functional design, design functional and UAT test scripts, and assisting with training development Collaborate with cross functional teams comprising of business SMEs, Architects, Developers and SIs on current processes and proposing solutions to enhance current systems Identify, recommend and implement complex configuration solutions and implement full cycle configuration to meet business needs; create and update associated documentation Ability to handle and lead the development of WRICEF objects independently in collaboration with ABAP team SAP GTS Configuration: Customize and configure the SAP GTS module to align with the company’s global trade compliance requirements, including tariff classification, SPL, export control, import/export compliance, and product classification. Compliance Management: Lead the design and implementation of compliance processes, including sanctioned party list screening, embargo checks, and legal control, ensuring adherence to global trade regulations. Customs Management: Drive the configuration and optimization of import/export declaration processes and customs procedures to support efficient and compliant cross-border operations. Risk Management: Oversee the setup of product classification, preference determination, and origin management to reduce duty costs and ensure regulatory alignment across regions. Enable seamless integration with government platforms by configuring electronic filing processes, ensuring timely and accurate submission of trade documents. Trade Compliance Management: Collaborate with internal stakeholders to develop and maintain effective trade compliance processes, including import/export documentation, embargo/sanction list screening, and restricted party screening. Ensure the accuracy and integrity of data within the SAP GTS system, including the maintenance of product master data, customs information, and compliance documentation. Training and Support: Provide training and support to end-users and colleagues to enhance their understanding of SAP GTS functionality, compliance requirements, and best practices. Regulatory Updates: Stay informed about changes in international trade regulations and trade compliance laws to ensure the company’s ongoing compliance and make necessary system adjustments. Troubleshooting: Act as the point of contact for troubleshooting SAP GTS-related issues and implementing solutions to resolve system and process discrepancies. Employer will not sponsor applicants for employment visa status. Basic Qualifications (Required Skills/Experience) 12-16 years of hands-on SAP GTS experience with strong configuration expertise Candidate should have done minimum 2-3 global implementation projects. Strong understanding of international trade compliance regulations, customs procedures, and trade finance. Extensive integration experience with SAP SD, MM, EHS, FI and SAP TM. Proven ability to gather application specific project requirements, participate in workshops, launch discussions with architects, and drive detailed application design in SAP S4Hana Experience on S/4 HANA, aware of differences between various releases and new innovations that are brought in each of the S/4HANA release In depth knowledge of SAP module specific User exits, batch jobs and standard SAP reports. Familiar with Supply Chain business models, and Fiori UI. Understanding of business functionalities in Aerospace and Defense industry would be an added advantage Relevant SAP Certifications in SAP EWM is an added advantage. Exceptional Communication and Interpersonal skill. Typical Education & Experience: Typically, 12-16 years related work experience or Relevant military experience. advanced degree (eg. Bachelor,Master, etc), preferred, but not required. Relocation: This position does offer relocation within INDIA. Applications for this position will be accepted until Aug. 07, 2025 Export Control Requirements: This is not an Export Control position. Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews. Your Benefits No matter where you are in life, our benefits help prepare you for the present and the future. Competitive base pay and incentive programs. Industry-leading tuition assistance program pays your institution directly. Resources and opportunities to grow your career. Up to $10,000 match when you support your favorite nonprofit organizations.

Category: Software Development/ Engineering Main location: India, Karnataka, Bangalore Position ID: J0725-0526 Employment Type: Full Time Position Description: Company Profile: - At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. Job Title: AI-ML Engineer Position: Software Engineer (SE) / Senior Software Engineer (SSE) Experience: 2 years to 5 Years Category: zINACTIVE - Information Technology Main location: Bangalore Position ID: J0725-0526 Employment Type: Full Time Job Description: - AI-ML Engineer We are seeking a high-impact AI/ML Software Engineer to join our AI engineering team. The ideal candidate brings deep expertise in modern agentic frameworks such as Google ADK, CrewAI, AutoGen, or LangGraph, and hands-on experience in developing Model Context Protocols (MCP). This role is ideal for individuals passionate about engineering through automation, scaling AI architecture, and contributing to the next generation of agent-based systems. You will work closely with our CICD platform tooling and global architecture teams to enhance and productize our agentic SDLC platform. Key Responsibilities: Design, develop, and maintain Kubernetes-based containerized microservices and CICD automation pipelines that support SDLC. Build modular agent workflows capable of reasoning, collaborating, and adapting dynamically to context and goals. Develop and manage multi-agent systems using frameworks like Google ADK, CrewAI, or AutoGen. Build and optimize MCP pipelines, including context injection, memory caching, semantic retrieval, and embedding-based context scoping. Develop CLIs and SDKs to support MCP testing and integration. Collaborate with cross-functional teams including product, data analytics, and infrastructure to evolve tooling for agent development, prompt evaluation, and telemetry analysis. Fine-tune foundation models (e.g., GPT, Claude, Falcon) for enhanced domain-specific performance. Required Qualifications: Bachelor’s degree in computer science, Engineering, Mathematics, or a related technical field. 2–5 years of software engineering experience, with at least 2 years focused on AI/ML or developer platform teams. Strong coding skills in Python and Golang, with a track record of writing clean, secure, and scalable code. Proven experience in MCP implementation, ensuring efficient, coherent, and context-aware data flow in multi-agent LLM systems. Experience with Kubernetes, service mesh technologies (e.g., Istio), and Infrastructure-as-Code (IaC). Familiarity with distributed task orchestration and real-time agent execution environments. Skills: Artificial Intelligence Kubernetes What you can expect from us: Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

Job Title: Databricks Developer / Data Engineer Duration - 12 Months with Possible Extension Location: Hyderabad, Telangana (Hybrid) 1-2 days onsite at client location Job Summary: We are seeking a highly skilled Databricks Developer / Data Engineer with 5+ years of experience in building scalable data pipelines, managing large datasets, and optimizing data workflows in cloud environments. The ideal candidate will have hands-on expertise in Azure Databricks, Azure Data Factory, and other Azure-native services, playing a key role in enabling data-driven decision-making across the organization. Key Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, and integration Work with both structured and unstructured data from a variety of internal and external sources Collaborate with data analysts, scientists, and engineers to ensure data quality, integrity, and availability Build and manage data lakes, data warehouses, and data models (Azure Databricks, Azure Data Factory, Snowflake, etc.) Optimize performance of large-scale batch and real-time processing systems Implement data governance , metadata management, and data lineage practices Monitor and troubleshoot pipeline issues; perform root cause analysis and proactive resolution Automate data validation and quality checks Ensure compliance with data privacy, security, and regulatory requirements Maintain thorough documentation of architecture, data workflows, and processes Mandatory Qualifications: 5+ years of hands-on experience with: Azure Blob Storage, Azure Data Lake Storage, Azure SQL Database Azure Logic Apps, Azure Data Factory, Azure Databricks, Azure ML Azure DevOps Services, Azure API Management, Webhooks Intermediate-level proficiency in Python scripting and PySpark Basic understanding of Power BI and visualization functionalities Technical Skills & Experience Required: Proficient in SQL and working with both relational and non-relational databases (e.g., SQL, PostgreSQL, MongoDB, Cassandra) Hands-on experience with Apache Spark, Hadoop, Hive for big data processing Proficiency in building scalable data pipelines using Azure Data Factory and Azure Databricks Solid knowledge of cloud-native tools : Delta Lake, Azure ML, Azure DevOps Understanding of data modeling , OLAP/OLTP systems , and data warehousing best practices Experience with CI/CD pipelines , version control with Git , and working with Azure Repos Knowledge of data security , privacy policies, and compliance frameworks Excellent problem-solving , troubleshooting , and analytical skills