20419 Ml Jobs - Page 42

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Job Title: AI/ML Engineer Location: Bangalore Job Type: Full-Time Introduction: We are seeking a highly skilled and experienced AI/ML Engineer to join our innovative team. The ideal candidate will have a strong background in backend development using Python, expertise in LangChain, vector databases, and applied AI using large language models (LLMs), Retrieval-Augmented Generation (RAG), Graph RAG, and other Generative AI applications. This role requires a blend of advanced technical skills in software design, data structures, and coding, coupled with a passion for AI-driven innovation. Key Responsibilities: Design, develop, and maintain robust backend systems integrating advanced AI and ML capabilities. Implement and optimize LangChain for efficient language model chaining and application. Manage and manipulate data using vector databases to enhance model performance and scalability. Develop and deploy solutions based on LLMs, RAG, and Graph RAG to solve complex problems and improve user interactions. Collaborate with cross-functional teams to define clear specifications, deliverables, and timelines. Stay abreast of industry trends and advancements in AI and ML technologies, applying this knowledge to drive continuous improvement in our solutions. Write clean, manageable code and maintain proper documentation. Conduct code reviews, and mentor junior engineers, promoting best practices in software development and AI integration. Ensure the performance, quality, and responsiveness of applications. Qualifications: Bachelor’s or Master’s degree in Computer Science, or a related field. Proven experience (5+ years) as an Software Engineer with a focus on backend development. Expertise in Python programming and familiarity with frameworks and libraries relevant to AI and ML. Strong experience with LangChain, vector databases, and technologies such as MongoDB and Pinecone. Profound knowledge of LLMs, RAG, Graph RAG, and other Generative AI concepts. Excellent skills in software design, data structures, and algorithms. Experience with software development tools including version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines. Strong analytical and problem-solving skills. Excellent communication and teamwork skills. Preferred Skills: Experience with cloud platforms (AWS, Google Cloud, Azure) and understanding of scalable architecture. Familiarity with containerization and orchestration technologies (Docker, Kubernetes). ͏ Job Title: AI/ML Engineer Location: Bangalore Job Type: Full-Time Introduction: We are seeking a highly skilled and experienced AI/ML Engineer to join our innovative team. The ideal candidate will have a strong background in backend development using Python, expertise in LangChain, vector databases, and applied AI using large language models (LLMs), Retrieval-Augmented Generation (RAG), Graph RAG, and other Generative AI applications. This role requires a blend of advanced technical skills in software design, data structures, and coding, coupled with a passion for AI-driven innovation. Key Responsibilities: Design, develop, and maintain robust backend systems integrating advanced AI and ML capabilities. Implement and optimize LangChain for efficient language model chaining and application. Manage and manipulate data using vector databases to enhance model performance and scalability. Develop and deploy solutions based on LLMs, RAG, and Graph RAG to solve complex problems and improve user interactions. Collaborate with cross-functional teams to define clear specifications, deliverables, and timelines. Stay abreast of industry trends and advancements in AI and ML technologies, applying this knowledge to drive continuous improvement in our solutions. Write clean, manageable code and maintain proper documentation. Conduct code reviews, and mentor junior engineers, promoting best practices in software development and AI integration. Ensure the performance, quality, and responsiveness of applications. Qualifications: Bachelor’s or Master’s degree in Computer Science, or a related field. Proven experience (5+ years) as an Software Engineer with a focus on backend development. Expertise in Python programming and familiarity with frameworks and libraries relevant to AI and ML. Strong experience with LangChain, vector databases, and technologies such as MongoDB and Pinecone. Profound knowledge of LLMs, RAG, Graph RAG, and other Generative AI concepts. Excellent skills in software design, data structures, and algorithms. Experience with software development tools including version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines. Strong analytical and problem-solving skills. Excellent communication and teamwork skills. Preferred Skills: Experience with cloud platforms (AWS, Google Cloud, Azure) and understanding of scalable architecture. Familiarity with containerization and orchestration technologies (Docker, Kubernetes). ͏ 2. Provide customer support and problem solving from time to time Perform defect fixing raised by the client or software integration team while solving the tickets raised Develop software verification plans and quality assurance procedures for the customer Troubleshoot, debug and upgrade existing systems on time & with minimum latency and maximum efficiency Deploy programs and evaluate user feedback for adequate resolution with customer satisfaction Comply with project plans and industry standards ͏ 3. Ensure reporting & documentation for the client Ensure weekly, monthly status reports for the clients as per requirements Maintain documents and create a repository of all design changes, recommendations etc Maintain time-sheets for the clients Providing written knowledge transfer/ history of the project ͏ Deliver No. Performance Parameter Measure 1. Design and develop solutions Adherence to project plan/ schedule, 100% error free on boarding & implementation, throughput % 2. Quality & CSAT On-Time Delivery, minimum corrections, first time right, no major defects post production, 100% compliance of bi-directional traceability matrix, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

New Lead Analytics Specialist Bangalore Razorpay was founded by Shashank Kumar and Harshil Mathur in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India. We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we've disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via Razorpay X) and enabling capital availability for businesses (via Razorpay Capital). The Role: Lead Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Setting high standards in project management and mentoring analysts. Roles and Responsibilities: You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML You would excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms You will develop compelling stories with business insights, focusing on strategic goals of the organization You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness Set high standards in project management; own scope and timelines for the team Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques etc.) Mentoring analysts within the team to deliver effectively, incubating new ideas. Mandatory Qualifications: Bachelor's/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field 5-7 years of high quality hands-on experience in analytics and data science Hands on experience in SQL and Python Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc. Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization. Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction Work experience in Consumer-tech organizations would be a plus Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.

Imagine shaping your future and unleashing your potential in a role to transform raw data into innovative solutions. Be at the forefront, collaborating with stakeholders and mastering low-code environments while improving operational efficiency. As a Low Code Developer - Team Leader in the Operations team, you will conduct intelligence automation and business analysis to gather requirements. Your role will involve translating these requirements into process improvements and solutions for operational efficiencies. You will be responsible for gathering information, executing, and implementing automation and the digitization strategy. Your work will support the Operations function by delivering the outcomes of the automation. Job responsibilities Researches, gathers, and prepares information for analysis and reporting Contributes to and supports projects and initiatives with key stakeholders Executes basic solution design and development, and troubleshoots technical aspects Collects, analyzes, and monitors low-code/no-code automation in test and production while adhering to the firm’s standards and controls Utilizes, supports, and administers tools for automation Required qualifications, capabilities, and skills At least 3 years of experience and a proven ability to gather/analyze complex operational processes and data to develop accurate conclusions with sufficient comprehension of the business to understand risk implications Basic to Intermediate knowledge of AI/ML Intermediate knowledge of Python Preferred qualifications, capabilities, and skills Understanding of basic software development principles Basic knowledge of intelligence automation applications and other coding languages such as UiPath and PEGA Beginner level skills with an understanding of business analysis, development, testing, and deployment Bachelor's degree

Ways of Working - Employees will work from the office in hybrid mode (Bangalore). About Swiggy Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fuelled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India. From starting out as a hyperlocal food delivery service in 2014, to becoming India’s leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees. About this role: This position will be a key part of the Growth Marketing vertical, responsible for driving disproportionate growth by shipping impactful solutions in performance marketing, owned media, and other high-growth domains. The role involves end-to-end ownership of product discovery, solutioning, PRD creation, GTM strategies and root cause analysis (RCA), . The position will work cross-functionally with tech, marketing, design, and analytics teams to conceptualize, execute, and scale products that fuel business growth. Responsibilities: Product Discovery & Ideation: Identify opportunities for growth through performance marketing and owned media solutions. Conduct market research, user feedback, and competitive analysis to define high-impact problem statements. Solution Design & PRD Development: Develop comprehensive Product Requirement Documents (PRDs) for solutions that align with growth objectives. Collaborate with tech teams to define product architecture and features. Cross-functional Collaboration: Partner with marketing, design, analytics, and engineering teams to bring solutions from concept to launch. Act as the bridge between business and technical stakeholders, ensuring alignment across teams. Experimentation & Problem Solving: Design, execute, and analyze experiments to validate product hypotheses. Conduct RCA wherever applicable. GTM Strategy & Execution: Own the GTM for new products, ensuring timely execution and alignment with business goals. Develop frameworks for post-launch performance tracking and optimization. Performance Marketing Innovation: Build tools and products to improve targeting, personalization, and media efficiency. Explore and implement new channels, algorithms, and automation to scale performance marketing efforts. Leadership & Planning: Create and present quarterly, half yearly and annual growth roadmaps to leadership. Influence and drive alignment across teams, including product, business, analytics, bizfin, brand, and design. Required Skill-set: Proven ability to manage complex, cross-functional projects with measurable impact. Strong analytical skills with a focus on leveraging data for decision-making. Experience in crafting and driving PRDs, experimentation frameworks, and GTM strategies. Familiarity with performance marketing channels (Google, Facebook, affiliates, programmatic etc.) and tools (Snowflake, AppsFlyer, Clevertap, etc.). Strong understanding of owned media, including CRM, push notifications, in-app messaging, and personalization. Exceptional communication and stakeholder management skills, with a proven ability to influence without authority. Self-driven with a strong bias for action and comfort with ambiguity. Preferred Experience: 2+ years in product management, growth marketing, or a similar role in B2C tech/e-commerce. Experience collaborating with engineering, design, marketing, and analytics teams. Prior work in performance marketing, owned media, or growth-focused roles is a strong plus. This role is ideal for a self-starter passionate about solving growth challenges through innovative product thinking and collaborative execution. As a MarTech Manager, you will play a critical role in shaping the future of high-growth initiatives, driving user acquisition, engagement, and retention through impactful product solutions. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, color, religion, sex, disability status, or any other characteristic protected by the law.

Project description Surveillance Enhancement Program (SEP) is a multi-year program (MYP) to build and enhance the surveillance platform to detect potential instances of market misconduct, market manipulation and market abuse. The Bank met its commitment to FCA (Financial Conduct Authority, FCA) to meet Market Abuse Regulation ("MAR") requirements for critical data sources in September 2017. Following that, subsequent projects were initiated to further enhance, expand and complement the current coverage of the automated surveillance platform. This project will focus on Alerts enhancements, Strategic data sourcing from FM order and trade lakes, UI / workflow enhancements to meet regulatory obligations (i.e. Market Abuse Regulation, Dodd Frank). This also includes Control Room & Suitability Monitoring related data, UI and scenario enhancements. Responsibilities Software programming using Q/KDB backend and UI development using Delta Stream Dash board builder. Perform data analysis and apply ML/AI based libraries for innovative solutions to the requirements / problems in Market Abuse Surveillance This role will work closely with business analysts and trade surveillance users Provide effort estimates of based on requirements to project managers Adhere to best practices, coding standards Keep the specification documentation updated and version controlled in Share point Skills Must have Technical: 1+ years of hands on experience in Development using q/KDB in financial domain. Proficiency in using JIRA for issue tracking (SCRUM boards) Prior experience in using ML/AI libraries in solving real world problems is a definite plus Functional: Strong understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a must. Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus Others: Education Degree or above in Information Technology, Computer Science or equivalent Excellent verbal and written communications skills Good knowledge of release process and control procedures. Strong experience in dealing with geographically diverse teams globally Nice to have Python, Machine Learning, Artificial Intelligence, Investment Banking Other Languages English: C2 Proficient Seniority Junior Bengaluru, India Req. VR-115880 Other Scripting Languages BCM Industry 11/07/2025 Req. VR-115880

DESCRIPTION Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete, correct and, comprehensive enough to give Amazon customers a great shopping experience every time. That's where you can help. We believe in “Work Hard. Have Fun. Make History” value by having a strong focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep, we need you. If you can juggle three tasks and coordinate with multiple people in the heat of an incident, we need you. If you love the benefits of process and methodical improvement, you will love it here. If you want to keep your head down, headphones on, and bash out code to support the team, we have a spot for you too. We challenge one another every day and hold ourselves accountable for our work product as well as our customer's overall success. We all enjoy the interactions with the customers, problem solving, digging into complex issues. We wake up every morning asking ourselves how we can improve the customer's experience, the quality of our product, the quality of our support system, or our individual weaknesses. We are not scared of challenges, nor do we back down or get deterred by tough problems. When problems seem the hardest we are at our best, we work harder to find the root cause and a solution. Work/Life Balance RBS Tech team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and we encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring, detailed and constructive code reviews. We have casual coffee chats with Principal & Senior Engineers from RBS tech where you could have technical conversations around your work, technical challenges, suggestions, ideas and proposals and also seek advice and discuss about things outside work, like, life in general, your family, hobbies etc. We provide trainings to the employees through online learning platforms such as O'reilly and also encourage them to take up AWS/ML certifications. Key job responsibilities We are looking for a sharp, experienced Application Engineer (AE) with a diverse skillset and background. As an AE, we are looking for a technical lead acting act as a subject matter expert for one or more services. You are viewed as a support leader throughout the larger organization and are regularly engaged to work on cross-team planning. You are expected to lead large multi-team projects and resolve the most complex support issues. You understand the business impact of support decisions and drive the team to improve operational efficiency for all services through the identification and development of SLAs, metrics, monitors, procedures, tools, and documentation. You regularly work with management to assign tasks and small projects to other Support Engineers. You design and develop complex high performing scripts and applications. You work with other Amazon leaders to share ideas and improve support across the company. You play a significant role in hiring, mentoring, and training employees. You demonstrate excellent judgment when making decisions. You play a significant role in actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members. On-call support is a critical responsibility where you will work on issues related to alarm monitoring, application infrastructure and bug fixes. On-boarding clients on to the platform and familiarizing them with platform features and capabilities. BASIC QUALIFICATIONS 5+ years of software development or technical support experience Own support activities for services and regularly work with development teams to establish and improve service support Should have in depth understanding of software development principles, design patterns and best practices Understand/debug existing code and should be able to write clean and efficient code Good understanding of relational database management systems like MySQL, PostgreSQL using SQL is essential Familiarity with software testing principles and experience in testing is valuable Provide technical guidance and mentor junior engineers Should be able to analyze complex technical solutions, propose innovative solutions and guide resolution process Should be able to effectively communicate with cross-functional teams, stakeholders and clients Able to handle high impact incidents, perform pattern, root cause analysis and drive to logical closure Excellent communication skills, possessing the ability to support customers over email, phone or screen-shares Exhibit strong team oriented interpersonal skills with the ability to effectively interface with a wide variety of people and roles from junior engineers to senior leaders PREFERRED QUALIFICATIONS Strong understanding of support processes SLA, handling tickets, monitoring, processes and metrics. Hands on experience in Cloud technology is plus. Hands on experience distributed applications/enterprise applications is plus. Experience in developing automated solutions About the team Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. BASIC QUALIFICATIONS 5+ years of software development, or 5+ years of technical support experience Experience troubleshooting and debugging technical systems Experience in Unix Experience scripting in modern program languages PREFERRED QUALIFICATIONS Knowledge of distributed applications/enterprise applications Knowledge of UNIX/Linux operating system Experience analyzing and troubleshooting RESTful web API calls Experience working in AWS eco-system leveraging AWS services. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, KA, Bengaluru Software Development

Ways of Working - Full time Office role on hybrid mode (Bangalore) About Swiggy Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fuelled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India. From starting out as a hyperlocal food delivery service in 2014, to becoming India’s leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees. Roles and Responsibilities: Draft, review and negotiate a variety of commercial agreements, Nondisclosure Agreements, Supply Agreements, Master Service Agreements, Statement of Works, IPR related documents and other legal documents. Focus on service agreements, licensing agreements, vendor contracts, advertising, endorsement, marketing agreements, sponsorship agreements, NDAs etc. Support new business initiatives, project work with project teams to ensure legal evaluation and timely compliance with all conditions precedent and other contractual obligations. Research on applicable regulatory laws and prepare in-house preliminary opinions. Assist in reviewing print, social media and other media advertisements and marketing communications to ensure legal compliance. Provide guidance and assistance on drafting and reviewing different policies and terms and conditions relating to offers, business and our services. Desired skills: Transactional drafting, negotiation and advisory experience on different commercial transactions gained at a leading law firm and/or in-house at a multinational corporation The role requires the individual to be well skilled in contract analysis and working knowledge of the fundamental legal provisions of commercial contracts. • Excellent attention to details, ability to analyze and assess business processes, spot issues and propose/implement solutions. • Ability to function autonomously yet communicate laterally and upwardly with ease. Strong legal and business judgment. Excellent written and oral communication and interpersonal skills to effectively communicate and coordinate complex issues and projects with diverse levels of management and employees. Ready and willing to take up new projects and work independently with minimal supervision and take responsibility. Prioritize and manage work load effectively, recognizing the quick turn-around requirements. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability status, or any other characteristic protected by the law.

- 2+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience - 1+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience - Experience using JavaScript frameworks such as angular and react - Strong proficiency in JavaScript/TypeScript, HTML5, and CSS3. - Experience with modern frontend frameworks (React, phaser preferred) The International Emerging Stores (IES) Technology team builds products and services that solve unique customer needs in Amazon’s fastest growing marketplace. We are a multi-billion-dollar business with a huge potential to grow in a trillion-dollar market. The GameX program is part of the IES shopping org contributing to the lifecycle progression charter - the larger vision of the org is to drive efficient, step-function acceleration in customer engagement across Amazon Markets by acquiring customers and influencing them to progressively trust us more with their purchases. Our vision with Gamified Experiences is to craft immersive, entertaining & rewarding experiences to drive sustained repeat engagement across Amazon’s Emerging Markets and accelerate customers’ lifecycle. Our engineers own the complete gamification experience for Amazon India & emerging stores, work on a wide range of technologies (including AWS , ML models, Gen AI’s technology) and build and operate highly scalable, low latency mobile first products and services. We are solving the last mile engineering challenges for the next set of customers who first experience Amazon on their mobile phones. **Pioneering GenAI Integration:** Craft intelligent reward systems using Large Language Models • Build AI-powered personalized gaming experiences • Implement smart achievement systems that evolve with user behavior • Create dynamic content generation for game elements **Game Mechanics Innovation:** Design engaging point systems and achievement paths • Develop real-time leaderboards and competitive features • Build interactive challenges and rewards • Create adaptive progression systems You'll be at the forefront of merging gamification with AI technology, creating experiences that learn and adapt to user interactions. This is your chance to shape the future of user engagement through intelligent, gamified experiences! Bring your creativity and technical skills to help us push the boundaries of what's possible with GenAI in interactive web applications! #GenAI #Gamification #FrontendDevelopment #Innovation Key job responsibilities • Design and develop interactive gamification elements using modern frontend frameworks (React/Phaser ..etc) • Integrate GenAI-powered features to create personalized and dynamic user experiences • Build responsive and performant user interfaces that scale • Collaborate with UX designers and backend teams to implement gamification mechanics • Optimize frontend performance and ensure cross-browser compatibility • Familiarity with WebGL or Canvas for interactive animations 1+ years of professional front end development experience Experience with common front-end technologies such as HTML, CSS, JS, TypeScript, and Node Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

About this role: As an AI Engineer on the founding team , you won’t just write code—you’ll architect, experiment, and build AI systems that power the future of software interoperability. You’ll work directly with the founders, take ownership of major technical decisions, and help define the trajectory of our product and platform. We move fast. We build a lot. And we have fun while doing it. Here's what you'll do: Implement retrieval-augmented generation (RAG) pipelines to integrate LLMs with real-time data and context. Apply advanced techniques in prompt engineering , transfer learning , and custom model training. Optimize model performance and cost across production environments. Work with tools like Hugging Face, LangChain, OpenAI APIs , and vector databases (FAISS, Pinecone, Weaviate). Deploy scalable models using cloud platforms like AWS, GCP , or Azure , and containerization tools like Docker and Kubernetes . Collaborate with global teams and researchers in a fast-paced, remote-first setup. Must-haves: 4+ years of experience in AI/ML with deep exposure to Generative AI , LLMs, and NLP. Proficient in Python and at least one deep learning framework: PyTorch, TensorFlow , or JAX . Solid understanding of Transformer architectures (GPT, T5, BERT, Claude, Gemini, etc.). Experience deploying models in production using cloud infrastructure and MLOps practices. Familiarity with SQL/NoSQL and data manipulation at scale. Excellent analytical skills and ability to break down complex problems into production-ready solutions. Comfortable working 5+ hours overlapping with Pacific Time (PT) . Strong communication and asynchronous collaboration skills. Job Types: Full-time, Permanent Pay: ₹3,000,000.00 - ₹4,000,000.00 per year Benefits: Flexible schedule Health insurance Paid sick time Schedule: Monday to Friday Work Location: In person

Key Responsibilities: Identify, define, and deliver AI/ML and GenAI use cases in collaboration with business and technical stakeholders Design, develop, and deploy models using Google Cloud’s Vertex AI platform Fine-tune and evaluate Large Language Models (LLMs) for domain-specific applications Ensure responsible AI practices and governance in solution delivery Collaborate with data engineers and architects to ensure robust and scalable pipelines Document workflows and experiments for reproducibility and handover readiness Apply strong knowledge in supervised, unsupervised, and reinforcement learning Utilize Vertex AI features including AutoML, Pipelines, Model Registry, and Generative AI Studio Work on GenAI workflows: prompt engineering, fine-tuning, and model evaluation Develop in Python using ML frameworks like TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers Communicate and collaborate across product, data, and business teams Required Skills: Hands-on experience with Vertex AI on GCP – model training, deployment, endpoint management, MLOps Practical knowledge of PaLM, Gemini, or other LLMs via Vertex AI or open-source Proficiency in Python for ML pipeline scripting, data preprocessing, and evaluation Expertise in ML/GenAI libraries: scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain Exposure to CI/CD for ML, containerization using Docker/Kubernetes Familiarity with GCP services like BigQuery, Cloud Functions, Cloud Storage Experience with media datasets and real-world ML applications in OTT, DTH, Web platforms Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields 3+ years of hands-on experience in ML/AI or GenAI projects Any relevant certifications in ML, GCP, or GenAI technologies are a plus

DESCRIPTION Amazon is a global leader in e-commerce and cloud computing, headquartered in Seattle, Washington. Since its inception in 1995, Amazon has strived to be the world's most customer-centric company, catering to a global customer base, which includes not only consumers but also our sellers and vendors (selling partners). Our platform empowers world-class retail brands and individual sellers to increase sales and reach new customers. The North America Customer Fulfillment (NACF) team is dedicated to effectively network labor planning for optimizing customer experience and enhancing productivity. The successful execution of the network depends on well-defined roles and responsibilities. The AI Ops MLDA (Machine Learning Data Associate) team is dedicated to implementing GenAI solutions to automate and augment tasks across North America Supply Chain (NASC) and Global Services Risk & Compliance (GSRC) teams. The team focuses on expanding use-case portfolios and accelerating the automation lifecycle through internal GenAI products for workflow automation. Key job responsibilities Create and optimize Standard Operating Procedures (SOPs) using AI-powered documentation tools, including managing process recordings and converting them into detailed written documentation Collaborate with Subject Matter Experts (SMEs) to capture and document process knowledge and quality metrics using generative AI tools, while gathering diverse work samples for comprehensive coverage Implement process automation using low-code/no-code AI platforms for setup, execution, and optimization, including output validation and issue resolution Develop and optimize analytical workflows using SQL and Python, leveraging AI assistance, and train team members on automation best practices Work closely with SMEs and cross-functional teams to ensure successful automation deployment and continuous process improvement Full-time position with regular working hours from 11:00 AM to 8:00 PM IST (India Standard Time) BASIC QUALIFICATIONS Educational Background: Bachelor's degree in any discipline Technical Skills: Proficiency in MS Excel; basic understanding of SQL and Python Communication Skills: Strong verbal and written communication skills in English 1+ years of relevant work experience in process documentation or automation PREFERRED QUALIFICATIONS Experience with prompt engineering, AI/ML tools, and process automation Strong knowledge of process documentation, analysis knowledge Technical proficiency in SQL querying and Python programming for data analysis Strong analytical and problem-solving skills Ability to work independently and as part of a team Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, KA, Bengaluru Compliance Operations Machine Learning Science

DESCRIPTION The International Emerging Stores (IES) Technology team builds products and services that solve unique customer needs in Amazon’s fastest growing marketplace. We are a multi-billion-dollar business with a huge potential to grow in a trillion-dollar market. The GameX program is part of the IES shopping org contributing to the lifecycle progression charter - the larger vision of the org is to drive efficient, step-function acceleration in customer engagement across Amazon Markets by acquiring customers and influencing them to progressively trust us more with their purchases. Our vision with Gamified Experiences is to craft immersive, entertaining & rewarding experiences to drive sustained repeat engagement across Amazon’s Emerging Markets and accelerate customers’ lifecycle. Our engineers own the complete gamification experience for Amazon India & emerging stores, work on a wide range of technologies (including AWS , ML models, Gen AI’s technology) and build and operate highly scalable, low latency mobile first products and services. We are solving the last mile engineering challenges for the next set of customers who first experience Amazon on their mobile phones. **Pioneering GenAI Integration:** Craft intelligent reward systems using Large Language Models • Build AI-powered personalized gaming experiences • Implement smart achievement systems that evolve with user behavior • Create dynamic content generation for game elements **Game Mechanics Innovation:** Design engaging point systems and achievement paths • Develop real-time leaderboards and competitive features • Build interactive challenges and rewards • Create adaptive progression systems You'll be at the forefront of merging gamification with AI technology, creating experiences that learn and adapt to user interactions. This is your chance to shape the future of user engagement through intelligent, gamified experiences! Bring your creativity and technical skills to help us push the boundaries of what's possible with GenAI in interactive web applications! #GenAI #Gamification #FrontendDevelopment #Innovation Key job responsibilities Design and develop interactive gamification elements using modern frontend frameworks (React/Phaser ..etc) Integrate GenAI-powered features to create personalized and dynamic user experiences Build responsive and performant user interfaces that scale Collaborate with UX designers and backend teams to implement gamification mechanics Optimize frontend performance and ensure cross-browser compatibility Familiarity with WebGL or Canvas for interactive animations BASIC QUALIFICATIONS 2+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience 1+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience Experience using JavaScript frameworks such as angular and react Strong proficiency in JavaScript/TypeScript, HTML5, and CSS3. Experience with modern frontend frameworks (React, phaser preferred) PREFERRED QUALIFICATIONS 1+ years of professional front end development experience Experience with common front-end technologies such as HTML, CSS, JS, TypeScript, and Node Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, KA, Bangalore Software Development

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Provides technical direction for the development, design, and systems integration across multiple client engagements from definition phase through implementation Using azure infra for deployment/maintenance of applications Lead the design, development, and deployment of machine learning models and AI systems to address healthcare challenges Conduct exploratory data analysis (EDA), statistical analysis, and feature engineering to interpret complex healthcare data to provide actionable insights Collaborate with cross-functional teams, including clinicians, researchers, and IT, to identify business needs and translate them into technical solutions Develop and implement advanced algorithms and statistical models to solve healthcare-specific problems, such as predictive analytics, patient risk stratification, and medical image analysis Optimize and enhance existing machine learning models for better performance and scalability in healthcare settings Develop and integrate generative AI models and large language models (LLMs) for tasks such as medical text generation, data augmentation, and synthetic data generation Stay updated with the latest advancements in AI/ML technologies and integrate them into ongoing healthcare projects Analyze, design, Code, Review, Integrate, Implement, Install, Deploy and Maintenance of the computer programs and software components using specific tools and latest technologies including Java/J2EE, Web services (REST and SOAP), Microservices Framework, Apache Kafka, Spring Boot, Kubernetes, and Docker, JSON, Node JS, Casandra, GraphQL etc. Design, develop, and maintain robust and scalable RESTful APIs for data exchange between healthcare systems Mentor and guide junior data scientists and engineers, fostering a culture of continuous learning and improvement Ensure data integrity, accuracy, and security, complying with healthcare regulations such as HIPAA Develop and maintain documentation for models, processes, and systems Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field Experience in data science, machine learning, or AI engineering roles like GenAI, Statistical Analysis, Data Mining, and Data Visualization, ML framework and libraries TensorFlow, PyTorch, scikit-learn, and Keras Experience as a Full Stack Engineer with Solid proficiency in Java, SpringBoot, Python or other backend programming languages Experience with cloud platforms (e.g., Azure) and containerization technologies (e.g., Docker, Kubernetes) Solid understanding of database concepts, distributed systems, and data warehousing principles Preferred Qualifications: Master’s degree Azure certifications Familiarity with the US Healthcare domain At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. #Nic

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Develop and Deploy ML Models: Code and develop software that deploys machine learning models and algorithms into production environments, with a focus on healthcare applications Communication: Present complex analytics results and concepts to leadership and internal stakeholders in a clear and concise manner AI/ML Technologies: Employ AI/ML techniques, including NLP, NLU, semantic understanding, intent classification, computer vision, deep learning, and ASR Deep Learning Applications: Apply deep learning technologies to enable computers to visualize, learn, and respond to complex healthcare situations. Adapt machine learning to areas such as AI, robotics, and other interactive healthcare products Experimental Methodologies: Apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning for tool building and statistical analysis using both general-purpose software and statistical languages Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so #niche #NJP Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field Proven experience in AI/ML engineering, with a strong track record of deploying machine learning models into production, preferably in the healthcare industry Solid understanding of experimental methodologies, statistics, optimization, and probability theory Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar Proven excellent verbal and written communication skills, with the ability to present complex information to non-technical stakeholders. Proven ability to work collaboratively with cross-functional teams, including healthcare professionals, IT, and customer service departments At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Title : Senior Data Architect Years of Experience : 10+ years Job Description The Senior Data Architect will design, govern, and optimize the entire data ecosystem for advanced analytics and AI workloads. This role ensures data is collected, stored, processed, and made accessible in a secure, performant, and scalable manner. The candidate will drive architecture design for structured/unstructured data, build data governance frameworks, and support the evolution of modern data platforms across cloud environments. Key responsibilities · Architect enterprise data platforms using Azure/AWS/GCP and modern data lake/data mesh patterns · Design logical and physical data models, semantic layers, and metadata frameworks · Establish data quality, lineage, governance, and security policies · Guide the development of ETL/ELT pipelines using modern tools and streaming frameworks · Integrate AI and analytics solutions with operational data platforms · Enable self-service BI and ML pipelines through Databricks, Synapse, or Snowflake · Lead architecture reviews, design sessions, and CoE reference architecture development Technical Skills · Cloud Platforms: Azure Synapse, Databricks, Azure Data Lake, AWS Redshift · Data Modeling: ERWin, dbt, Power Designer · Storage & Processing: Delta Lake, Cosmos DB, PostgreSQL, Hadoop, Spark · Integration: Azure Data Factory, Kafka, Event Grid, SSIS · Metadata/Lineage: Purview, Collibra, Informatica · BI Platforms: Power BI, Tableau, Looker · Security & Compliance: RBAC, encryption at rest/in transit, NIST/FISMA Qualification · Bachelor’s or Master’s in Computer Science, Information Systems, or Data Engineering · Microsoft Certified: Azure Data Engineer / Azure Solutions Architect · Strong experience building cloud-native data architectures · Demonstrated ability to create data blueprints aligned with business strategy and compliance. Job Types: Full-time, Permanent Work Location: Hybrid remote in Chennai, Tamil Nadu Expected Start Date: 12/07/2025

Job Location: Madurai Job Experience: 10-20 Years Model of Work: Work From Office Technologies: GCP Functional Area: Software Development Job Summary: Job Title: GCP Data Architect Location: Madurai Experience: 12+ Years Notice Period: Immediate About TechMango TechMango is a rapidly growing IT Services and SaaS Product company that helps global businesses with digital transformation, modern data platforms, product engineering, and cloud-first initiatives. We are seeking a GCP Data Architect to lead data modernization efforts for our prestigious client in USA and its a highly strategic project. Role Summary As a GCP Data Architect, you will be responsible for designing and implementing scalable, high-performance data solutions on Google Cloud Platform. You will work closely with stakeholders to define data architecture, implement data pipelines, modernize legacy data systems, and guide data strategy aligned with enterprise goals. Key Responsibilities: Lead end-to-end design and implementation of scalable data architecture on Google Cloud Platform (GCP) Define data strategy, standards, and best practices for cloud data engineering and analytics Develop data ingestion pipelines using Dataflow, Pub/Sub, Apache Beam, Cloud Composer (Airflow), and BigQuery Migrate on-prem or legacy systems to GCP (e.g., from Hadoop, Teradata, or Oracle to BigQuery) Architect data lakes, warehouses, and real-time data platforms Ensure data governance, security, lineage, and compliance (using tools like Data Catalog, IAM, DLP) Guide a team of data engineers and collaborate with business stakeholders, data scientists, and product managers Create documentation, high-level design (HLD) and low-level design (LLD), and oversee development standards Provide technical leadership in architectural decisions and future-proofing the data ecosystem Required Skills & Qualifications: 10+ years of experience in data architecture, data engineering, or enterprise data platforms Minimum 3–5 years of hands-on experience in GCP Data Service Proficient in:BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, Cloud SQL/Spanner Python / Java / SQL Data modeling (OLTP, OLAP, Star/Snowflake schema) Experience with real-time data processing, streaming architectures, and batch ETL pipelines Good understanding of IAM, networking, security models, and cost optimization on GCP Prior experience in leading cloud data transformation projects Excellent communication and stakeholder management skills Preferred Qualifications: GCP Professional Data Engineer / Architect Certification Experience with Terraform, CI/CD, GitOps, Looker / Data Studio / Tableau for analytics Exposure to AI/ML use cases and MLOps on GCP Experience working in agile environments and client-facing roles About our Talent Acquisition Team: Arumugam Veera leads the Talent Acquisition function for both TechMango and Bautomate - SaaS Platform , driving our mission to build high-performing teams and connect top talent with exciting career opportunities. Feel free to connect with him on LinkedIn : https://www.linkedin.com/in/arumugamv/ Follow our official TechMango LinkedIn page for the latest job updates and career opportunities: https://www.linkedin.com/company/techmango-technology-services-private-limited/ Looking forward to connecting and helping you explore your next great opportunity with us!

Title: Senior Data Scientist Years of Experience : 8+ years *Location: The selected candidate is required to work onsite at our Chennai/Kovilpatti location for the initial Three-month project training and execution period. After the Three months , the candidate will be offered remote opportunities.* The Senior Data Scientist will lead the development and implementation of advanced analytics and AI/ML models to solve complex business problems. This role requires deep statistical expertise, hands-on model building experience, and the ability to translate raw data into strategic insights. The candidate will collaborate with business stakeholders, data engineers, and AI engineers to deploy production-grade models that drive innovation and value. Key responsibilities · Lead end-to-end model lifecycle: data exploration, feature engineering, model training, validation, deployment, and monitoring · Develop predictive models, recommendation systems, anomaly detection, NLP models, and generative AI applications · Conduct statistical analysis and hypothesis testing for business experimentation · Optimize model performance using hyperparameter tuning, ensemble methods, and explainable AI (XAI) · Collaborate with data engineering teams to improve data pipelines and quality · Document methodologies, build reusable ML components, and publish technical artifacts · Mentor junior data scientists and contribute to CoE-wide model governance Technical Skills · ML Frameworks: Scikit-learn, TensorFlow, PyTorch, XGBoost · Statistical tools: Python (NumPy, Pandas, SciPy), R, SAS · NLP & LLMs: Hugging Face Transformers, GPT APIs, BERT, LangChain · Model deployment: MLflow, Docker, Azure ML, AWS Sagemaker · Data visualization: Power BI, Tableau, Plotly, Seaborn · SQL and NoSQL (CosmosDB, MongoDB) · Git, CI/CD tools, and model monitoring platforms Qualification · Master’s in Data Science, Statistics, Mathematics, or Computer Science · Microsoft Certified: Azure Data Scientist Associate or equivalent · Proven success in delivering production-ready ML models with measurable business impact · Publications or patents in AI/ML will be considered a strong advantage Job Types: Full-time, Permanent Work Location: Hybrid remote in Chennai, Tamil Nadu Expected Start Date: 12/07/2025

If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. We will continue to raise the bar every day by investing in our people and technology to help our customers succeed. We hire people who share our passion, bring innovative ideas to the table, and enjoy a collaborative atmosphere. Who we are: ACV is a technology company that has revolutionized how dealers buy and sell cars online. We are transforming the automotive industry. ACV Auctions Inc. (ACV), has applied innovation and user-designed, data driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. Our network of brands include ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services. ACV Auctions in Chennai, India are looking for talented individuals to join our team. As we expand our platform, we're offering a wide range of exciting opportunities across various roles in corporate, operations, and product and technology. Our global product and technology organization spans product management, engineering, data science, machine learning, DevOps and program leadership. What unites us is a deep sense of customer centricity, calm persistence in solving hard problems, and a shared passion for innovation. If you're looking to grow, lead, and contribute to something larger than yourself, we'd love to have you on this journey. Let's build something extraordinary together. Join us in shaping the future of automotive! At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer industry leading benefits and wellness programs. What you will do: ACV’s Machine Learning (ML) team is looking to grow its MLOps team. Multiple ACV operations and product teams rely on the ML team’s solutions. Current deployments drive opportunities in the marketplace, in operations, and sales, to name a few. As ACV has experienced hyper growth over the past few years, the volume, variety, and velocity of these deployments has grown considerably. Thus, the training, deployment, and monitoring needs of the ML team has grown as we’ve gained traction. MLOps is a critical function to help ourselves continue to deliver value to our partners and our customers. Successful candidates will demonstrate excellent skill and maturity, be self-motivated as well as team-oriented, and have the ability to support the development and implementation of end-to-end ML-enabled software solutions to meet the needs of their stakeholders. Those who will excel in this role will be those who listen with an ear to the overarching goal, not just the immediate concern that started the query. They will be able to show their recommendations are contextually grounded in an understanding of the practical problem, the data, and theory as well as what product and software solutions are feasible and desirable. The core responsibilities of this role are: Working with fellow machine learning engineers to build, automate, deploy, and monitor ML applications. Developing data pipelines that feed ML models. Deploy new ML models into production. Building REST APIs to serve ML models predictions. Monitoring performance of models in production. Required Qualifications: Graduate education in a computationally intensive domain or equivalent work experience. 5+ years of prior relevant work or lab experience in ML projects/research Advanced proficiency with Python, SQL etc. Experience with building and deploying REST APIs (FastAPI, Flask) Experience with distributed caching technologies (Redis) Experience with real-time data streaming and processing (Kafka) Experience with cloud services (AWS / GCP) and kubernetes, docker, CI/CD. Preferred Qualifications: Experience with MLOps-specific tooling like Vertex AI, Ray, Feast, Kubeflow, or MLFlow, etc. are a plus. Experience with building data pipelines Experience with training ML models Our Values Trust & Transparency | People First | Positive Experiences | Calm Persistence | Never Settling At ACV, we are committed to an inclusive culture in which every individual is welcomed and empowered to celebrate their true selves. We achieve this by fostering a work environment of acceptance and understanding that is free from discrimination. ACV is committed to being an equal opportunity employer regardless of sex, race, creed, color, religion, marital status, national origin, age, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires reasonable accommodation, please let us know. Data Processing Consent When you apply to a job on this site, the personal data contained in your application will be collected by ACV Auctions Inc. and/or one of its subsidiaries ("ACV Auctions"). By clicking "apply", you hereby provide your consent to ACV Auctions and/or its authorized agents to collect and process your personal data for purpose of your recruitment at ACV Auctions and processing your job application. ACV Auctions may use services provided by a third party service provider to help manage its recruitment and hiring process. For more information about how your personal data will be processed by ACV Auctions and any rights you may have, please review ACV Auctions' candidate privacy notice here. If you have any questions about our privacy practices, please contact datasubjectrights@acvauctions.com.

Job Summary: We are looking for a passionate and experienced Python Developer with strong skills in Computer Vision , OCR , Object Detection (YOLO) , and GUI application development using Tkinter . The ideal candidate will work on end-to-end solutions that involve processing images and videos in real-time, designing intuitive GUIs, and integrating AI-powered vision models. Key Responsibilities: Develop and maintain computer vision applications using OpenCV (cv2) and NumPy . Design and build responsive desktop GUIs using Tkinter . Integrate and optimize YOLO-based object detection systems (YOLOv5, YOLOv8, or YOLO-NAS). Implement OCR pipelines using libraries like Tesseract OCR , EasyOCR , or similar. Handle real-time image/video feeds (including RTSP streams). Use multi-threading (threading module) to manage background processing without blocking the GUI. Save and load models/configurations using pickle . Collaborate with AI/ML engineers to deploy custom-trained models. Optimize performance for speed and accuracy across various devices (including edge devices). Maintain codebase with good documentation and version control (Git). Required Skills: Strong programming experience with Python . Deep knowledge of OpenCV (cv2) for video/image processing. GUI development expertise using Tkinter . Object detection model integration using YOLO (You Only Look Once). Experience in OCR using tools like Tesseract , EasyOCR , etc. Excellent understanding of NumPy operations. Serialization/deserialization with pickle . Multithreading for parallel and non-blocking operations. Familiarity with camera streams (USB/IP/RTSP). Nice to Have: Experience with TensorFlow , PyTorch , or ONNX model integration. Exposure to PyQt or other Python GUI frameworks. Familiarity with Raspberry Pi or embedded systems. Knowledge of image pre-processing techniques to improve OCR accuracy. Hands-on experience with Docker and deployment tools. Job Type: Full-time Pay: ₹18,000.00 - ₹25,000.00 per month Benefits: Cell phone reimbursement Location Type: In-person Schedule: Day shift Experience: Python: 2 years (Required) Work Location: In person Speak with the employer +91 9514347734

Role: Cognitive SON Architect Experience: 10+ Years Location: Chennai Type: Permanent Notice Period: 30-60 Days Detailed JD - As a Cognitive SON Architect, you will be responsible for designing, developing, and implementing AI-driven solutions to enhance the performance, scalability, and self-management of telecommunications networks. You will work in close collaboration with cross-functional teams to build and deploy intelligent network automation tools leveraging machine learning, artificial intelligence, and advanced analytics. The goal is to deliver innovative solutions to optimize the operation and evolution of modern mobile networks, particularly focusing on 5G and beyond. Key Responsibilities: Design & Architecture: Define the architecture for Cognitive SON solutions, integrating AI/ML techniques to automate network management tasks such as self-healing, self-optimization, and self-configuration. Technology Development: Develop innovative algorithms, models, and tools to enhance the cognitive capabilities of SON systems, utilizing AI/ML techniques to solve complex network optimization challenges. Network Optimization: Work on optimizing radio access networks (RAN) by developing solutions that adapt in real-time to network conditions and demands. This includes interference management, load balancing, and energy efficiency. AI/ML Integration: Collaborate with data scientists to implement machine learning and artificial intelligence methods for predictive analytics, anomaly detection, and decision-making in the SON context. End-to-End Solution Design: Lead the design of end-to-end SON solutions, ensuring seamless integration with existing network management systems, 5G infrastructure, and other products. Collaboration: Work closely with product managers, engineers, and stakeholders to ensure the successful delivery of Cognitive SON features and the alignment of solution development with business goals. Research and Innovation: Stay updated with the latest trends and advancements in AI/ML, network automation, and self-organizing networks, and contribute to the continuous innovation in solutions. Customer Interaction: Engage with customers to understand their network challenges and provide solutions that leverage Cognitive SON technology to address their needs and pain points. Skills & Qualifications - Education: A bachelor’s or master’s degree in Telecommunications, Computer Science, Electrical Engineering, or a related field. Experience: Proven experience (typically 5+ years) in network architecture, SON, or AI/ML applications within telecommunications. Strong background in network optimization, particularly in RAN, 5G, or related technologies. Experience with Cognitive SON technologies, automation, and self-optimizing networks is highly desirable. Technical Expertise: Strong programming skills in languages such as Python, Java, Microservices. Proficiency in AI/ML algorithms, data modeling, and statistical methods. In-depth knowledge of RAN technologies, 5G, and network management protocols. Experience with cloud computing, big data platforms, and software-defined networking (SDN) is a plus. Job Type: Permanent Pay: ₹4,000,000.00 - ₹5,000,000.00 per year Benefits: Work from home Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Experience: Cognitive Models : 5 years (Required) Telecommunications Domain : 4 years (Required) RAN, 5G, or related technologies: 3 years (Required) Work Location: In person

Title: AI Integration Specialist Years of Experience: 7+ years Job Description The AI Integration Specialist bridges the gap between intelligent models and operational systems. They will ensure seamless integration of AI models, APIs, and cognitive services into enterprise platforms, web/mobile applications, and automation pipelines. This role demands strong backend development skills, knowledge of integration patterns, and experience working across system boundaries to bring AI capabilities to business workflows. Key responsibilities · Integrate AI services into enterprise applications (CRM, ERP, portals, mobile apps) · Develop middleware services to enable interaction with AI models (REST, GraphQL, gRPC) · Manage APIs, version control, security, and authentication for AI endpoints · Implement monitoring, logging, and failover strategies for AI-powered modules · Facilitate integration of LLM-based copilots, agents, and intelligent assistants · Collaborate with Dev, QA, and AI teams to ensure end-to-end performance and quality · Enable multi-system orchestration using platforms like Power Automate or Logic Apps · Document integration blueprints, SDKs, and reusable patterns for scale. Technical Skills · Backend: Node.js, C#, Python (Flask, FastAPI), .NET Core · API Management: Azure API Management, Postman, Swagger/OpenAPI · Integration Platforms: Azure Logic Apps, Power Platform, MuleSoft, Zapier · AI Services: OpenAI, Azure OpenAI, Cognitive Search, GPT/LLM APIs · CI/CD: Azure DevOps, GitHub Actions, Jenkins · Familiarity with event-driven architecture (Service Bus, Kafka, Pub/Sub) · Understanding of OAuth, JWT, and API gateway security best practices Qualification · Bachelor’s or Master’s in Computer Science, Software Engineering, or Systems Integration · Microsoft Certified: Azure Developer Associate / Integration Architect desirable · Hands-on experience integrating AI/ML models into customer-facing applications · Strong understanding of RESTful architecture, data contracts, and system interoperability Job Types: Full-time, Permanent Work Location: Hybrid remote in Kanchipuram, Tamil Nadu Expected Start Date: 12/07/2025

Job Title: Freelance AI trainer Location: Salem & Erode Job type : Freelance Experience: 2-5 years Job Summary: We are looking for a passionate and experienced AI Trainer with 2 to 5 years of experience in AI/ML technologies and technical training. The role involves delivering engaging and practical training sessions to college students , helping them build a strong foundation in Artificial Intelligence and Machine Learning. The ideal candidate should have strong technical expertise, excellent communication skills, and a flair for teaching. Required Skills and Experience: 2 to 5 years of professional experience in AI/ML development or technical training roles. Strong programming skills in Python and hands-on experience with core libraries such as Numpy , Pandas , Scikit-learn , Tensor Flow , or PyTorch . In-depth understanding of Machine Learning algorithms , Deep Learning fundamentals , Natural Language Processing (NLP) , and basic Computer Vision techniques. Proven experience in developing and delivering training content , including slide decks, coding exercises, and projects tailored for student-level audiences. Experience using Jupyter Notebook , Google Colab , or similar tools for demonstration and hands-on practice. Strong communication , public speaking , and student engagement skills . Bachelor’s or Master’s degree in Computer Science , Artificial Intelligence , Data Science , or a related technical field. Job Types: Full-time, Freelance Contract length: 3 months Pay: ₹20,000.00 - ₹35,000.00 per month Experience: AI Trainer: 2 years (Preferred) Language: English (Preferred) Location: Tamulinadu, Tamil Nadu (Preferred) Willingness to travel: 50% (Preferred) Work Location: In person Application Deadline: 20/07/2025 Expected Start Date: 23/07/2025

Job Information Date Opened 07/11/2025 City Saidapet Country India Job Role AI/ML Engineering State/Province Tamil Nadu Industry IT Services Job Type Full time Zip/Postal Code 600096 Job Description Introduction to the Role: Are you passionate about building intelligent systems that learn, adapt, and deliver real-world value? Join our high-impact AI & Machine Learning Engineering team and be a key contributor in shaping the next generation of intelligent applications. As an AI/ML Engineer , you’ll have the unique opportunity to develop, deploy, and scale advanced ML and Generative AI (GenAI) solutions in production environments, leveraging cutting-edge technologies, frameworks, and cloud platforms . In this role, you will collaborate with cross-functional teams including data engineers, product managers, MLOps engineers, and architects to design and implement production-grade AI solutions across domains. If you're looking to work at the intersection of deep learning, GenAI, cloud computing, and MLOps — this is the role for you. Accountabilities: Design, develop, train, and deploy production-grade ML and GenAI models across use cases including NLP, computer vision, and structured data modeling. Leverage frameworks such as TensorFlow , Keras , PyTorch , and LangChain to build scalable deep learning and LLM-based solutions. Develop and maintain end-to-end ML pipelines with reusable, modular components for data ingestion, feature engineering, model training, and deployment. Implement and manage models on cloud platforms such as AWS , GCP , or Azure using services like SageMaker , Vertex AI , or Azure ML . Apply MLOps best practices using tools like MLflow , Kubeflow , Weights & Biases , Airflow , DVC , and Prefect to ensure scalable and reliable ML delivery. Incorporate CI/CD pipelines (using Jenkins, GitHub Actions, or similar) to automate testing, packaging, and deployment of ML workloads. Containerize applications using Docker and orchestrate scalable deployments via Kubernetes . Integrate LLMs with APIs and external systems using LangChain, Vector Databases (e.g., FAISS, Pinecone), and prompt engineering best practices. Collaborate closely with data engineers to access, prepare, and transform large-scale structured and unstructured datasets for ML pipelines. Build monitoring and retraining workflows to ensure models remain performant and robust in production. Evaluate and integrate third-party GenAI APIs or foundational models where appropriate to accelerate delivery. Maintain rigorous experiment tracking, hyperparameter tuning, and model versioning. Champion industry standards and evolving practices in ML lifecycle management , cloud-native AI architectures , and responsible AI. Work across global, multi-functional teams, including architects, principal engineers, and domain experts. Essential Skills / Experience: 4–7 years of hands-on experience in developing, training, and deploying ML/DL/GenAI models . Strong programming expertise in Python with proficiency in machine learning , data manipulation , and scripting . Demonstrated experience working with Generative AI models and Large Language Models (LLMs) such as GPT, LLaMA, Claude, or similar. Hands-on experience with deep learning frameworks like TensorFlow , Keras , or PyTorch . Experience in LangChain or similar frameworks for LLM-based app orchestration. Proven ability to implement and scale CI/CD pipelines for ML workflows using tools like Jenkins , GitHub , GitLab , or Bitbucket Pipelines . Familiarity with containerization (Docker) and orchestration tools like Kubernetes . Experience working with cloud platforms (AWS, Azure, GCP) and relevant AI/ML services such as SageMaker , Vertex AI , or Azure ML Studio . Knowledge of MLOps tools such as MLflow , Kubeflow , DVC , Weights & Biases , Airflow , and Prefect . Strong understanding of data engineering concepts , including batch/streaming pipelines, data lakes, and real-time processing (e.g., Kafka ). Solid grasp of statistical modeling , machine learning algorithms , and evaluation metrics. Experience with version control systems (Git) and collaborative development workflows. Ability to translate complex business needs into scalable ML architectures and systems. Desirable Skills / Experience: Working knowledge of vector databases (e.g., FAISS , Pinecone , Weaviate ) and semantic search implementation. Hands-on experience with prompt engineering , fine-tuning LLMs, or using techniques like LoRA , PEFT , RLHF . Familiarity with data governance , privacy , and responsible AI guidelines (bias detection, explainability, etc.). Certifications in AWS, Azure, GCP, or ML/AI specializations. Experience in high-compliance industries like pharma , banking , or healthcare . Familiarity with agile methodologies and working in iterative, sprint-based teams. Work Environment & Collaboration: You will be a key member of an agile, forward-thinking AI/ML team that values curiosity, excellence, and impact. Our hybrid work culture promotes flexibility while encouraging regular in-person collaboration to foster innovation and team synergy. You'll have access to the latest technologies, mentorship, and continuous learning opportunities through hands-on projects and professional development resources. Why Join Us? Build and deploy cutting-edge LLM and GenAI applications that solve real-world problems Collaborate with thought leaders across engineering, product, and data science Work in a dynamic, cloud-native, and automation-driven AI environment Accelerate your growth through certification programs and continuous learning Be part of an innovation-first team that values openness, agility, and integrity About Agilisium - Agilisium, is an AWS technology Advanced Consulting Partner that enables companies to accelerate their "Data-to-Insights-Leap. With $25+ million in annual revenue and over 40% year-over-year growth, Agilisium is one of the fastest-growing IT solution providers in Southern California. Our most important asset? People. Talent management plays a vital role in our business strategy. We’re looking for “drivers”; big thinkers with growth and strategic mindset — people who are committed to customer obsession, aren’t afraid to experiment with new ideas. And we are all about finding and nurturing individuals who are ready to do great work. At Agilisium, you’ll collaborate with great minds while being challenged to meet and exceed your potential

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. Position Overview The Boeing Company is seeking Associate Illustrated Parts Catalog Author to join the IPC/IPD teams within the support data engineering division, based in Chennai, India. Your aspirations extend beyond our planet. You possess innovation and creativity, constantly pushing boundaries. You excel in collaborative environments while also demonstrating the capability to handle tasks independently. The position offers an opportunity to analyze complex engineering documents and revise part applicability modifications in Illustrated Parts Catalogue. Position Responsibilities : Conduct regular data analysis tasks and prepare IPC/IPD data. Conducts in-depth analysis of engineering drawings, service bulletins, and modifications to interpret data for inclusion in the IPC Analyzes BOM (Bill of Materials) and engineering drawings to create installation and assembly breakdowns of parts using authoring tools. Update the Illustrated Parts Catalog to incorporate parts interchangeability and changes from pre/post configuration service bulletins. Follows IPC procedures, publication standards and government/customer specifications for authoring. Conducts analysis of Next Higher Assemblies and build indenture relationships to support impact analysis Communicates ISO processes to company, customer, ISO auditors and representatives. Create mark-ups to serve as inputs for illustrations. Performs quality assurance checks across multiple areas. Recognizes non-conformities in product and makes recommendations for corrections and preventive actions. Compares product to incoming source data for the purpose of verifying technical accuracy. Supports customer inquiries by researching issues and drafting responses. Carries out basic formatting and cataloging of sub-assemblies and components in accordance with established procedures and specifications. Communicates effectively with global partners and coordinates with team members within the group. Recognize opportunities for process improvement. Provides mentorship and guidance to other team members. Basic Qualifications (Required Skills/Experience): Bachelor’s degree in engineering or Diploma or Aircraft Maintenance Engineering (AME) is required as a basic qualification. 5 + years of experience in Aerospace technical publications or related work experience in other similar domains Over 3 years of experience in developing, updating, and evaluating IPC/IPD in accordance with ATA100/iSpec2200/S1000D standards Experience in utilizing engineering drawings, service bulletins, specifications, and other engineering resources to research, analyze, and interpret information for inclusion in publications. Preferred Qualifications (Desired Skills/Experience): Bachelor’s degree in engineering/Diploma/Aircraft Maintenance Engineering (AME) or equivalent will be considered along with 4-8 years of experience. Typical Education & Experience: Education and experience generally obtained through advanced studies (such as a bachelor’s degree in engineering or its equivalent) combined with over 5 years of relevant work experience. Relocation: This position offers relocation. Applications for this position will be accepted until Jul. 12, 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) Contingent Upon Program Reward The position is contingent upon program award 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.

Company Description Aestriks is a full-service software development company headquartered in Delhi NCR, India. We specialize in building scalable, reliable web, mobile, and backend systems for startups, enterprises, and side hustlers. Role Description Experience - 1-5 years AI/ML engineering (even freshers can apply) This is a full-time on-site role for an Artificial Intelligence Engineer, located in New Delhi. The AI Engineer will be responsible for designing, developing, and implementing AI-based solutions. Core Technologies: Python, SQL PyTorch or TensorFlow LangChain or LlamaIndex Hugging Face ecosystem (Transformers, PEFT, Datasets) Vector databases (Pinecone, Qdrant, Chroma) Cloud platforms (AWS Bedrock/SageMaker, GCP Vertex AI, or Azure OpenAI) LLM/GenAI Stack: Fine-tuning techniques (LoRA, QLoRA) RAG implementation and optimization LLM APIs (OpenAI, Anthropic, Google Gemini) Embedding models and similarity search Evaluation frameworks (DeepEval, LLM-as-a-Judge) MLOps tools (MLflow, Weights & Biases) Qualifications Proficiency in Pattern Recognition and Neural Networks Strong background in Computer Science and Software Development Experience with Natural Language Processing (NLP) technologies Excellent problem-solving and analytical skills Bachelor’s or Master’s degree in Computer Science, Engineering, or related field Understanding of data structures and algorithms Ability to work collaboratively in a team environment Experience in the software development lifecycle is a plus