24886 Ml Jobs - Page 31

Software Engineer – Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief This role is in the Maersk Global Data & Analytics (GDA) platform organization. This organization is at the forefront of developing cutting edge technologies to improve data quality, analytics, ML & AI capabilities. This team creates the foundation to integrate data, systems, and processes, powered by scalable Digital Infrastructure, thereby enabling Maersk’s vision to be the Global Integrator of container logistics, connecting, and simplifying customers’ supply chains. The Software Engineer is a very important role demonstrating both depth and breadth across key engineering competencies, e.g., Systems Design and Architecture, Software Development, Testing, DevOps, Security, Analytics, Lifecycle Management, etc. and successfully collaborate with experts from other subject domains. What I'll be doing – your accountabilities? Lead all aspects of Software Development Lifecyle (SDLC) in-line with Agile and IT craftsmanship principles Constantly learn technologies and mentor teams, be a leader & drive the culture of researching & implementing in products Design client-side and server-side architecture & solutions Write secure, scalable & clean code along with unit tests Perform code reviews and ensure the quality of code, constantly! Develop and manage well-functioning UI, backend services, databases/pipelines Troubleshoot, debug and upgrade software & infrastructure. Thrive in a DevOps culture where we build & support the application E2E Technical Skills JavaScript and relevant frameworks React, Vue, Node Java (version 11 or higher), TDD, BDD, Reactive programming & framework Spring ecosystem (Core, MVC, JPA, Transaction Management, Security, AOP, Spring Batch) SOA/Microservices (REST, SOAP) Messaging & Pub-Sub technologies (MQ, Kafka), SOA/Microservices (REST, SOAP) Writing complex SQL scripts Relational & non-relational databases, writing complex SQL scripts Tomcat/Weblogic servers, serverless (cloud) deployment, Kubernetes/Docker Create and maintain CI/CD pipelines using GitHub Actions / Azure DevOps Building applications using cloud platforms (Azure/AWS/GCP) Creating Infrastructure as Code using Terraform Preferred Azure Developer certification Experience of Master Data Management (MDM) domain & related tools (e.g., Informatica) Experience with Elastic Search / ELK stack, Python Qualifications & Requirements 5+ years of related experience with excellent programming & soft skills. Batchelor's degree in engineering or master’s degree in computer science / relevant field. Excellent communication and interpersonal skills. Proficiency in both written and spoken English is a must. As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

AIML Engineer– Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. We are responsible for moving 20 % of global trade & is on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer’s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners. The Brief In this role as an Associate AIML Engineer on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings. Data AI/ML (Artificial Intelligence and Machine Learning) Engineering involves the use of algorithms and statistical models to enable systems to analyse data, learn patterns, and make data-driven predictions or decisions without explicit human programming. AI/ML applications leverage vast amounts of data to identify insights, automate processes, and solve complex problems across a wide range of fields, including healthcare, finance, e-commerce, and more. AI/ML processes transform raw data into actionable intelligence, enabling automation, predictive analytics, and intelligent solutions. Data AI/ML combines advanced statistical modelling, computational power, and data engineering to build intelligent systems that can learn, adapt, and automate decisions. What I'll be doing – your accountabilities? Design, develop, and implement robust, scalable, and optimized machine learning and deep learning models, with the ability to iterate with speed Write and integrate automated tests alongside models or code to ensure reproducibility, scalability, and alignment with established quality standards Implement best practices in security, pipeline automation, and error handling using programming and data manipulation tools Identify and implement the right data-driven approaches to solve ambiguous and open-ended business problems, leveraging data engineering capabilities Research and implement new models, technologies, and methodologies and integrate these into production systems, ensuring scalability and reliability Apply creative problem-solving techniques to design innovative tools, develop algorithms and optimized workflows Independently manage and optimize data solutions, perform A/B testing, evaluate performance and evaluate performance of systems Understand technical tools and frameworks used by the team, including programming languages, libraries, and platforms and actively support debugging or refining code in projects Contribute to the design and documentation of AI/ML solutions, clearly detailing methodologies, assumptions, and findings for future reference and cross-team collaboration Collaborate across teams to develop and implement high-quality, scalable AI/ML solutions that align with business goals, address user needs, and improve performance Foundational Skills Have mastered the concepts and can demonstrate Programming skills in complex scenarios. Understands the below skills beyond the fundamentals and can demonstrate in most situations without guidance AI & Machine Learning Data Analysis Machine Learning Pipelines Model Deployment Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance for the following skills: Deep Learning Statistical Analysis Data Engineering Big Data Technologies Natural Language Processing (NPL) Data Architecture Data Processing Frameworks Understands the basic fundamentals of Technical Documentation and can demonstrate in common scenarios with some guidance Qualifications & Requirements BSc/MSc/PhD in computer science, data science or related discipline with 5+ years of industry experience building cloud-based ML solutions for production at scale, including solution architecture and solution design experience Good problem solving skills, for both technical and non-technical domains Good broad understanding of ML and statistics covering standard ML for regression and classification, forecasting and time-series modeling, deep learning 4+ years of hands-on experience building ML solutions in Python, incl knowledge of common python data science libraries (e.g. scikit-learn, PyTorch, etc) Hands-on experience building end-to-end data products based on AI/ML technologies Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD Strong foundation with expertise in neural networks, optimization techniques and model evaluation Experience with LLMs, Transformer architectures (BERT, GPT, LLaMA, Mistral, Claude, Gemini, etc.). Proficiency in Python, LangChain, Hugging Face transformers, MLOps Experience with Reinforcement Learning and multi-agent systems for decision-making in dynamic environments. Knowledge of multimodal AI (integrating text, image, other data modalities into unified models Team player, eager to collaborate and good collaborator Preferred Experiences In addition to basic qualifications, would be great if you have… Hands-on experience with common OR solvers such as Gurobi Experience with a common dashboarding technology (we use PowerBI) or web-based frontend such as Dash, Streamlit, etc. Experience working in cross-functional product engineering teams following agile development methodologies (scrum/Kanban/…) Experience with Spark and distributed computing Strong hands-on experience with MLOps solutions, including open-source solutions. Experience with cloud-based orchestration technologies, e.g. Airflow, KubeFlow, etc Experience with containerization (Kubernetes & Docker) As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Software Engineer – Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief This role is in the Maersk Global Data & Analytics (GDA) platform organization. This organization is at the forefront of developing cutting edge technologies to improve data quality, analytics, ML & AI capabilities. This team creates the foundation to integrate data, systems, and processes, powered by scalable Digital Infrastructure, thereby enabling Maersk’s vision to be the Global Integrator of container logistics, connecting, and simplifying customers’ supply chains. The Software Engineer is a very important role demonstrating both depth and breadth across key engineering competencies, e.g., Systems Design and Architecture, Software Development, Testing, DevOps, Security, Analytics, Lifecycle Management, etc. and successfully collaborate with experts from other subject domains. What I'll be doing – your accountabilities? Lead all aspects of Software Development Lifecyle (SDLC) in-line with Agile and IT craftsmanship principles Constantly learn technologies and mentor teams, be a leader & drive the culture of researching & implementing in products Design client-side and server-side architecture & solutions Write secure, scalable & clean code along with unit tests Perform code reviews and ensure the quality of code, constantly! Develop and manage well-functioning UI, backend services, databases/pipelines Troubleshoot, debug and upgrade software & infrastructure. Thrive in a DevOps culture where we build & support the application E2E Technical Skills JavaScript and relevant frameworks React, Vue, Node Java (version 11 or higher), TDD, BDD, Reactive programming & framework Spring ecosystem (Core, MVC, JPA, Transaction Management, Security, AOP, Spring Batch) SOA/Microservices (REST, SOAP) Messaging & Pub-Sub technologies (MQ, Kafka), SOA/Microservices (REST, SOAP) Writing complex SQL scripts Relational & non-relational databases, writing complex SQL scripts Tomcat/Weblogic servers, serverless (cloud) deployment, Kubernetes/Docker Create and maintain CI/CD pipelines using GitHub Actions / Azure DevOps Building applications using cloud platforms (Azure/AWS/GCP) Creating Infrastructure as Code using Terraform Preferred Azure Developer certification Experience of Master Data Management (MDM) domain & related tools (e.g., Informatica) Experience with Elastic Search / ELK stack, Python Qualifications & Requirements 6+ years of related experience with excellent programming & soft skills. Batchelor's degree in engineering or master’s degree in computer science / relevant field. Excellent communication and interpersonal skills. Proficiency in both written and spoken English is a must. As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Associate AI/ML Scientist – Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief In this role as an AI/ML Scientist on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings. You should be able to design, develop, and implement machine learning models, conduct deep data analysis, and support decision-making with data-driven insights. Responsibilities include building and validating predictive models, supporting experiment design, and integrating advanced techniques like transformers, GANs, and reinforcement learning into scalable production systems. The role requires solving complex problems using NLP, deep learning, optimization, and computer vision. You should be comfortable working independently, writing reliable code with automated tests, and contributing to debugging and refinement. You’ll also document your methods and results clearly and collaborate with cross-functional teams to deliver high-impact AI/ML solutions that align with business objectives and user needs. What I'll be doing – your accountabilities? Design, develop, and implement machine learning models, conduct in-depth data analysis, and support decision-making with data-driven insights Develop predictive models and validate their effectiveness Support the design of experiments to validate and compare multiple machine learning approaches Research and implement cutting-edge techniques (e.g., transformers, GANs, reinforcement learning) and integrate models into production systems, ensuring scalability and reliability Apply creative problem-solving techniques to design innovative models, develop algorithms, or optimize workflows for data-driven tasks Independently apply data-driven solutions to ambiguous problems, leveraging tools like Natural Language Processing, deep learning frameworks, machine learning, optimization methods and computer vision frameworks Understand technical tools and frameworks used by the team, including programming languages, libraries, and platforms and actively support debugging or refining code in projects Write and integrate automated tests alongside their models or code to ensure reproducibility, scalability, and alignment with established quality standards Contribute to the design and documentation of AI/ML solutions, clearly detailing methodologies, assumptions, and findings for future reference and cross-team collaboration Collaborate across teams to develop and implement high-quality, scalable AI/ML solutions that align with business goals, address user needs, and improve performance Foundational Skills Mastered Data Analysis and Data Science concepts and can demonstrate this skill in complex scenarios AI & Machine Learning, Programming and Statistical Analysis Skills beyond the fundamentals and can demonstrate the skills in most situations without guidance. Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance: Data Validation and Testing Model Deployment Machine Learning Pipelines Deep Learning Natural Language Processing (NPL) Optimization & Scientific Computing Decision Modelling and Risk Analysis. To understand fundamentals and can demonstrate this skill in common scenarios with guidance: Technical Documentation. Qualifications & Requirements Bachelor's degree in B.E/BTech, preferably in computer science Experience with collaborative development workflow: IDE (Integrated Development Environment), Version control(github), CI/CD (e.g. automated tests in github actions) Communicate effectively with technical and non-technical audiences with experience in stakeholder management Structured, highly analytical mind-set and excellent problem-solving skills; Self-starter, highly motivated & Willing to share knowledge and work as a team. An individual who respects the opinion of others; yet can drive a decision though the team; Preferred Experiences 5+ years of years of relevant experience in the field of Data Engineering 3+ years of hands-on experience with Apache Spark, Python and SQL Experience working with large datasets and big data technologies to train and evaluate machine learning models. Experience with containerization: Kubernetes & Docker Expertise in building cloud native applications and data pipelines (Azure, Databricks, AWS, GCP) C Experience with common dashboarding and API technologies (PowerBI, Superset, Flask, FastAPI, etc As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Electronics Embedded Engineer Experience: 0 - 2 Years Exp Salary: INR 4-6 Lacs per annum Preferred Notice Period : 15 Days Shift : 10:00 AM to 6:00 PM IST Opportunity Type: Office (Kota) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : UART OR Embedded Linux OR SPI OR I2CandRaspberry Pi OR Eagle and Develop Product Requirement Documents (PRDs) Eeki (One of Uplers' Clients) is Looking for: Electronics Embedded Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Responsibilities: Design and test embedded hardware interfaces for sensors and communication modules. Develop Product Requirement Documents (PRDs), system architecture, and supporting documentation throughout the product development lifecycle. Perform schematic design, PCB layout, component selection, Bill of Materials (BOM) creation, Gerber file generation, and manage PCB manufacturing and assembly. Oversee board bring-up activities including debugging and validation. Manage vendors including EMS/contract manufacturers and component suppliers — conduct audits and support onboarding. Handle import logistics for electronic components, including CHIMS certification, coordination with clearing agents, and required documentation. Plan project budgets and define test strategies, including firmware development, field testing, and validation. Design custom test jigs and manage product certification processes (EMI/EMC, environmental compliance). Define manufacturing strategies and establish end-to-end logistics operations. Integrate microcontrollers, power systems, and wireless interfaces such as Wi-Fi, LoRa, and 4G. Support board bring-up with a focus on EMC compliance and power optimization Required skills and qualifications: Embedded Linux, UART, I2C, SPI Power optimization and signal integrity PCB bring-up, debugging, and validation Jetson Nano, Raspberry Pi, and other SBCs Hardware integration of edge AI systems Schematic and PCB design tools (e.g., Altium Designer, KiCAD, Eagle) Job Title: Manufacturing & Field Deployment Lead Responsibilities: Develop low-level firmware for precise control and interfacing of sensors and camera modules. Optimize and deploy edge machine learning (ML) models on embedded platforms such as NVIDIA Jetson Nano and Raspberry Pi. Manage hardware interfaces for wireless connectivity including Wi-Fi, LoRa, and 4G LTE. Implement and maintain robust Over-The-Air (OTA) update mechanisms for remote firmware deployment and device management. Design and execute strategies for efficient power management across edge computing systems and sensor networks. Required skills and qualifications: C/C++ for embedded firmware Edge ML frameworks (TensorRT, OpenCV, PyTorch Lite) Connectivity protocols (MQTT, HTTP, custom serial protocols) OTA frameworks and secure firmware updates Power profiling and low-power design techniques How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Brand of cucumber, bottle gourds & green chilies. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Summary What¿s the Role? We are seeking AI/ML (Artificial Intelligence and Machine Learning) Data Scientist for project delivery. As a member of the team, you will play a crucial role in developing and implementing cutting edge AI/ML solutions to drive innovation and deliver business value for clients. You will collaborate with cross functional teams, including data scientists, software engineers, and business stakeholders, to develop and deploy AIML models and applications. This is an exciting opportunity to work on challenging projects and contribute to the advancement of AI/ML technologies. Job Summary Strongknowledge in AI/ML libraries and frameworks (e.g., PyTorch, scikit learn) along with good hold in Python. Strong understanding of AI/ML concepts (machine learning and deep learning), and techniques with practical implementation experience. Knowledge in applying Gen AI based approaches along with NLP, both using LLM / SLMs and fine tuning. Strong organizational and time management skills, with the ability to prioritize and manage multiple projects simulta Mandate Skills- Experience-7+ Yrs Experience in designing AI solutions to address different business challenges/problems spanning multiple industries(Telecom, BFSI, Retail, HLS, MFG, Hi-Tech,etc.) -Hands-on experience with Python programming -Understanding of different stages of ML life cycle and hands on experience in either development or deployment and fine-tuning of ML models -Drive discovery discussions with the customers by asking right questions that can lead to identification of AI infusion opportunities -Create and present AI infusion roadmap to customers

Company Description Aziro (formerly MSys Technologies and pronounced as "Ah-Zee-Roh") is an AI-native product engineering company driving innovation-led tech transformation for global enterprises, high growth ISVs and AI first pioneers. Role Description This is a full-time hybrid role for a Senior AI/ML Engineer based in Chennai/Bangalore/Pune, with some work-from-home flexibility. We are seeking a skilled and hands-on Senior Artificial Intelligence & Machine Learning (AI/ML) Engineer to build and productionize AI solutions—including fine-tuning large language models (LLMs), implementing Retrieval-Augmented Generation (RAG) workflows, multi-agent applications and MLOps pipelines. This role focuses on individual technical contribution and requires close collaboration with solution architects, AIML leads, and fellow engineers to translate business use cases into scalable, secure, cloud-native AI services. The ideal candidate will bring deep technical expertise across the AI/ML lifecycle—from prototyping to deployment—while contributing to a culture of engineering excellence through peer reviews, documentation, and platform innovation. They will play a critical role in delivering robust, high-performance AI systems in partnership with the broader AI/ML team. Qualifications 6–10 years total software/ML engineering experience, including 3+ years delivering ML models or GenAI systems to production. Proven track record building and optimising RAG or LLM‑powered applications at scale Proficiency in Python and ML frameworks (PyTorch, TensorFlow) and in cloud‑native deployment (AWS/GCP/Azure). Hands‑on experience with vector databases, embeddings, and prompt engineering. Experience in regulated industries (Fintech, Healthcare, eCommerce) is a plus. Experience with multi‑agent frameworks (Crew AI, AutoGen, LangGraph). Certifications such as AWS Certified Machine Learning Specialty / Azure AI Engineer / Google Professional Machine Learning Engineer. Bachelor’s degree in Computer Science, Data Science, Engineering or related discipline (Master’s preferred). Soft Skills & Leadership Attributes Ownership mindset: drives features from design through deployment and monitoring. Clear communicator: explains technical trade‑offs to stakeholders, writes concise docs, and updates project artefacts. Collaboration & mentorship: pairs with junior ngineers, shares knowledge in brown‑bag sessions, gives constructive PR feedback. Continuous learning: tracks latest GenAI research, evaluates new tooling, and proposes incremental improvements.

“At Sun Pharma, we commit to helping you “Create your own sunshine”— by fostering an environment where you grow at every step, take charge of your journey and thrive in a supportive community. Are You Ready to Create Your Own Sunshine? As you enter the Sun Pharma world, you’ll find yourself becoming ‘Better every day’ through continuous progress. exhibit self-drive as you ‘Take charge’ and lead with confidence. demonstrate a collaborative spirit, knowing that we ‘Thrive together’ and support each other’s journeys.” Job Summary Lead and deliver strategic digital healthcare projects in a top pharmaceutical firm. Manage end-to-end delivery of platforms that improve HCP engagement, patient outcomes, field force productivity, and ensure regulatory compliance. Blend technical expertise with healthcare domain knowledge to drive innovation in commercial, medical, and patient engagement domains. Your Tasks And Responsibilities Lead implementation of digital solutions: HCP portals, patient platforms, CRM (Veeva), analytics dashboards, mobile/web apps, and AI/ML tools. Manage stakeholders across Sales, Marketing, Medical Affairs, Regulatory, IT, and vendors to define and deliver project goals. Translate business needs into technical requirements; oversee integrations with SAP, CRM, and third-party tools using AngularJS, React, Laravel, Node.js, MySQL. Ensure compliance with pharma regulations (GDPR, MCI, UCPMP) and internal governance. Coordinate vendors and partners for timely, quality, cost-effective project delivery. Apply Agile, Waterfall, or hybrid methodologies for project execution, including sprint management and UAT. Maintain documentation, risk management, and report project status to leadership. Who You Are B Sc (IT) along with M Sc (IT)/ BTech (IT or Computer Science)/ M Tech 7+ years in pharma/healthcare project management, with strong digital and commercial process knowledge. Experience with CRM, WordPress CMS, AWS cloud, API integrations, and AI/ML applications. Strong stakeholder and vendor management, excellent communication, and analytical skills. Knowledge of pharma compliance and VAPT coordination. Skilled in Agile/hybrid project delivery, managing complex, multi-team programs. Ability to work cross-functionally, drive change, and mentor junior staff. Your Success Matters to Us! At Sun Pharma, your success and well-being are our top priorities! We provide robust benefits and opportunities to foster personal and professional growth. Join us at Sun Pharma, where every day is an opportunity to grow, collaborate, and make a lasting impact. Let’s create a brighter future together!

Electronics Embedded Engineer Experience: 0 - 2 Years Exp Salary: INR 4-6 Lacs per annum Preferred Notice Period : 15 Days Shift : 10:00 AM to 6:00 PM IST Opportunity Type: Office (Kota) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : UART OR Embedded Linux OR SPI OR I2CandRaspberry Pi OR Eagle and Develop Product Requirement Documents (PRDs) Eeki (One of Uplers' Clients) is Looking for: Electronics Embedded Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Responsibilities: Design and test embedded hardware interfaces for sensors and communication modules. Develop Product Requirement Documents (PRDs), system architecture, and supporting documentation throughout the product development lifecycle. Perform schematic design, PCB layout, component selection, Bill of Materials (BOM) creation, Gerber file generation, and manage PCB manufacturing and assembly. Oversee board bring-up activities including debugging and validation. Manage vendors including EMS/contract manufacturers and component suppliers — conduct audits and support onboarding. Handle import logistics for electronic components, including CHIMS certification, coordination with clearing agents, and required documentation. Plan project budgets and define test strategies, including firmware development, field testing, and validation. Design custom test jigs and manage product certification processes (EMI/EMC, environmental compliance). Define manufacturing strategies and establish end-to-end logistics operations. Integrate microcontrollers, power systems, and wireless interfaces such as Wi-Fi, LoRa, and 4G. Support board bring-up with a focus on EMC compliance and power optimization Required skills and qualifications: Embedded Linux, UART, I2C, SPI Power optimization and signal integrity PCB bring-up, debugging, and validation Jetson Nano, Raspberry Pi, and other SBCs Hardware integration of edge AI systems Schematic and PCB design tools (e.g., Altium Designer, KiCAD, Eagle) Job Title: Manufacturing & Field Deployment Lead Responsibilities: Develop low-level firmware for precise control and interfacing of sensors and camera modules. Optimize and deploy edge machine learning (ML) models on embedded platforms such as NVIDIA Jetson Nano and Raspberry Pi. Manage hardware interfaces for wireless connectivity including Wi-Fi, LoRa, and 4G LTE. Implement and maintain robust Over-The-Air (OTA) update mechanisms for remote firmware deployment and device management. Design and execute strategies for efficient power management across edge computing systems and sensor networks. Required skills and qualifications: C/C++ for embedded firmware Edge ML frameworks (TensorRT, OpenCV, PyTorch Lite) Connectivity protocols (MQTT, HTTP, custom serial protocols) OTA frameworks and secure firmware updates Power profiling and low-power design techniques How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Brand of cucumber, bottle gourds & green chilies. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : Fresher Salary : INR 400000-600000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Kota) Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Eeki) What do you need for this opportunity? Must have skills required: UART, Embedded Linux, SPI, I2C, Jetson Nano, Raspberry Pi, Altium Designer, KiCAD, Eagle, Develop Product Requirement Documents (PRDs) Eeki is Looking for: Job title : Electronic Embedded Engineer Responsibilities: Design and test embedded hardware interfaces for sensors and communication modules. Develop Product Requirement Documents (PRDs), system architecture, and supporting documentation throughout the product development lifecycle. Perform schematic design, PCB layout, component selection, Bill of Materials (BOM) creation, Gerber file generation, and manage PCB manufacturing and assembly. Oversee board bring-up activities including debugging and validation. Manage vendors including EMS/contract manufacturers and component suppliers — conduct audits and support onboarding. Handle import logistics for electronic components, including CHIMS certification, coordination with clearing agents, and required documentation. Plan project budgets and define test strategies, including firmware development, field testing, and validation. Design custom test jigs and manage product certification processes (EMI/EMC, environmental compliance). Define manufacturing strategies and establish end-to-end logistics operations. Integrate microcontrollers, power systems, and wireless interfaces such as Wi-Fi, LoRa, and 4G. Support board bring-up with a focus on EMC compliance and power optimization Required skills and qualifications: Embedded Linux, UART, I2C, SPI Power optimization and signal integrity PCB bring-up, debugging, and validation Jetson Nano, Raspberry Pi, and other SBCs Hardware integration of edge AI systems Schematic and PCB design tools (e.g., Altium Designer, KiCAD, Eagle) Job Title: Manufacturing & Field Deployment Lead Responsibilities: Develop low-level firmware for precise control and interfacing of sensors and camera modules. Optimize and deploy edge machine learning (ML) models on embedded platforms such as NVIDIA Jetson Nano and Raspberry Pi. Manage hardware interfaces for wireless connectivity including Wi-Fi, LoRa, and 4G LTE. Implement and maintain robust Over-The-Air (OTA) update mechanisms for remote firmware deployment and device management. Design and execute strategies for efficient power management across edge computing systems and sensor networks. Required skills and qualifications: C/C++ for embedded firmware Edge ML frameworks (TensorRT, OpenCV, PyTorch Lite) Connectivity protocols (MQTT, HTTP, custom serial protocols) OTA frameworks and secure firmware updates Power profiling and low-power design techniques Salary : 4-6lpa Location : Kota, Rajasthan Monday to Saturday 10 am to 6pm How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Role Summary 1. Demonstrate solid proficiency in Python development, writing clean, maintainable code. 2. Collaborator in the design and implementation of AI-driven applications leveraging large language models (LLMs). 3. Develop and maintain Django-based RESTful APIs to support backend services. 4. Integrate with LLM provider APIs (e.g., GPT, Claude, Cohere) and agent frameworks (LangChain, AgentStudio). 5. Build and optimize data pipelines for model training and inference using Pandas, NumPy, and Scikit-learn. 6. Ensure robust unit and integration testing via pytest to maintain high code quality. 7. Participate in agile ceremonies, contributing estimations, design discussions, and retrospectives. 8. Troubleshoot, debug, and optimize performance in multi-threaded and distributed environments. 9. Document code, APIs, and data workflows in accordance with software development best practices. 10. Continuously learn and apply new AI/ML tools, frameworks, and cloud services. Key Responsibilities 1. Write, review, and optimize Python code for backend services and data science workflows. 2. Design and implement Django REST APIs, ensuring scalability and security. 3. Integrate LLMs into applications: handle prompt construction, API calls, and result processing. 4. Leverage agent frameworks (LangChain, AgentStudio) to orchestrate complex LLM workflows. 5. Develop and maintain pytest suites covering unit, integration, and end-to-end tests. 6. Build ETL pipelines to preprocess data for model training and feature engineering. 7. Work with relational databases (PostgreSQL) and vector stores (FAISS, Weaviate, Milvus). 8. Containerize applications using Docker and deploy on Kubernetes or serverless platforms (AWS, GCP, Azure). 9. Monitor and troubleshoot application performance, logging, and error handling. 10. Collaborate with data scientists to deploy and serve ML models via FastAPI or vLLM. 11. Maintain CI/CD pipelines for automated testing and deployment. 12. Engage in technical learning sessions and share best practices across the team. Desired Skills & Qualifications - 1–3 years of hands-on experience in Python application development. - Proven pytest expertise, with a focus on test-driven development. - Practical knowledge of Django (or FastAPI) for building RESTful services. - Experience with LLM APIs (OpenAI, Anthropic, Cohere) and prompt engineering. - Familiarity with at least one agent framework (LangChain, AgentStudio). - Working experience in data science libraries: NumPy, Pandas, Scikit-learn. - Exposure to ML model serving tools (MLflow, FastAPI, vLLM). - Experience with container orchestration (Docker, Kubernetes, Docker Swarm). - Basic understanding of cloud platforms (AWS, Azure, or GCP). - Knowledge of SQL and database design; familiarity with vector databases. - Eagerness to learn emerging AI/ML technologies and frameworks. - Excellent problem-solving, debugging, and communication skills. Education & Attitude - Bachelor’s or Master’s in Computer Science, Data Science, Statistics, Mathematics, or related field. - Growth-mindset learner: proactive in upskilling and sharing knowledge. - Strong collaboration ethos and adaptability in a fast-paced AI environment.

Electronics Embedded Engineer Experience: 0 - 2 Years Exp Salary: INR 4-6 Lacs per annum Preferred Notice Period : 15 Days Shift : 10:00 AM to 6:00 PM IST Opportunity Type: Office (Kota) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : UART OR Embedded Linux OR SPI OR I2CandRaspberry Pi OR Eagle and Develop Product Requirement Documents (PRDs) Eeki (One of Uplers' Clients) is Looking for: Electronics Embedded Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Responsibilities: Design and test embedded hardware interfaces for sensors and communication modules. Develop Product Requirement Documents (PRDs), system architecture, and supporting documentation throughout the product development lifecycle. Perform schematic design, PCB layout, component selection, Bill of Materials (BOM) creation, Gerber file generation, and manage PCB manufacturing and assembly. Oversee board bring-up activities including debugging and validation. Manage vendors including EMS/contract manufacturers and component suppliers — conduct audits and support onboarding. Handle import logistics for electronic components, including CHIMS certification, coordination with clearing agents, and required documentation. Plan project budgets and define test strategies, including firmware development, field testing, and validation. Design custom test jigs and manage product certification processes (EMI/EMC, environmental compliance). Define manufacturing strategies and establish end-to-end logistics operations. Integrate microcontrollers, power systems, and wireless interfaces such as Wi-Fi, LoRa, and 4G. Support board bring-up with a focus on EMC compliance and power optimization Required skills and qualifications: Embedded Linux, UART, I2C, SPI Power optimization and signal integrity PCB bring-up, debugging, and validation Jetson Nano, Raspberry Pi, and other SBCs Hardware integration of edge AI systems Schematic and PCB design tools (e.g., Altium Designer, KiCAD, Eagle) Job Title: Manufacturing & Field Deployment Lead Responsibilities: Develop low-level firmware for precise control and interfacing of sensors and camera modules. Optimize and deploy edge machine learning (ML) models on embedded platforms such as NVIDIA Jetson Nano and Raspberry Pi. Manage hardware interfaces for wireless connectivity including Wi-Fi, LoRa, and 4G LTE. Implement and maintain robust Over-The-Air (OTA) update mechanisms for remote firmware deployment and device management. Design and execute strategies for efficient power management across edge computing systems and sensor networks. Required skills and qualifications: C/C++ for embedded firmware Edge ML frameworks (TensorRT, OpenCV, PyTorch Lite) Connectivity protocols (MQTT, HTTP, custom serial protocols) OTA frameworks and secure firmware updates Power profiling and low-power design techniques How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Brand of cucumber, bottle gourds & green chilies. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Title: Lead Software Engineer – Fullstack / Cloud / Architecture (React, Node.js, Azure) Role Overview We are hiring a Lead Software Engineer to design, build, and scale enterprise-grade software solutions across cloud-native and modernized architectures. This is a hands-on leadership role involving full-stack development, technical strategy, and team mentorship. The ideal candidate will drive scalable solution design while collaborating across engineering, product, and DevOps teams. Key Responsibilities Architect and develop high-performance systems using React, Node.js, Nest.js, and C# Lead application modernisation, moving from legacy to microservices-based systems Design scalable APIs and always-on cloud applications (Azure/AWS) Oversee DevOps processes using Azure DevOps, Jenkins, and Docker Collaborate across teams for system integration, delivery, and quality assurance Mentor developers and ensure engineering excellence through code reviews Manage production systems, troubleshoot issues, and drive platform performance Technical Stack Frontend: React.js Backend: Node.js, Nest.js, C# Database: MS SQL & T-SQL (strong SQL skills) MongoDB (schema design, ingestion pipelines, aggregation) Cloud & DevOps: Azure and AWS (hands-on experience) Azure DevOps (ADO), Jenkins, Docker, Azure Pipelines Architecture & Design: Microservices, API-first design, system modernization Mobile App Development: Experience with mobile platforms AI/ML Awareness: Familiarity with analytics-driven platforms using AI/ML (hands-on ML not required) Must-Have Skills 10+ years of hands-on software development experience Deep expertise in React, Node.js, Next.js, Java/.NET, and SQL-based systems Proven experience with Azure or AWS deployments and DevOps pipelines Strong foundation in cloud architecture, microservices, and scalable system design Demonstrated ability to lead and mentor engineering teams without a formal reporting structure

About This Role Wells Fargo is seeking a Senior Software Engineer within the Enterprise Core Infrastructure Services (CIS) under CTO Organization focused on enabling the Next generation Gen AI solutions on public cloud platforms. In This Role, You Will Write, develop, and deploy Terraform code and modules for infrastructure as code to provision and manage Gen-AI services on GCP, Azure, and OpenAI platforms, ensuring production-ready deployments. CIS CTO is a key contributor in delivering and automating the provisioning of Cloud Infrastructure using Infrastructure as a Code for the cutting-edge Gen-AI services such as Agentic Solutions, Agentic Development Frameworks (ADK), Agentic-to-Agentic (A2A) services, MCP (Model Control Protocol) framework and the associated LLM models in Azure and GCP Clouds. Enable and optimize infrastructure for agentic AI frameworks, including A2A protocols (e.g., Google's proposed frameworks) and Model Control Protocol (MCP). Leverage expertise in large language models (LLMs) such as GPT-4, Google-based models (e.g., Gemini), and Anthropic-based models to support financial services applications. Collaborate with cross-functional teams to integrate Gen-AI solutions into financial platforms, ensuring alignment with business needs. Ensure scalability, security, and performance of cloud-based Gen-AI infrastructure. Mentor junior engineers and contribute to technical strategy for Gen-AI initiatives. Understanding of industry best practices and new technologies, influencing and contributing as part of the technology team to meet deliverables and work on new initiatives. Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals. Build and Enable cloud infrastructure, automate the orchestration of the entire GCP/Azure Cloud Platforms for Wells Fargo Enterprise. Working in a globally distributed team to provide innovative and robust Cloud centric solutions. Closely working with Product Team and Vendors to develop and deploy Cloud services to meet customer expectations. Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 3+ years working with GCP and a proven track record of building complex infrastructure programmatically with IaC tools. Having at least 2+ years of experience in Azure Cloud delivering Enterprise production grade services and solutions is a huge plus. Must have 2+ years of hands-on experience with Infrastructure as Code tool Terraform and GitHub. Must have professional cloud certification on GCP and or Azure Infrastructure and automation technologies: Orchestration, Harness, Terraform, API development, Test Driven Development Sound knowledge on the following areas with an expertise on one of them - Should have a good understanding of networking, firewalls, load balancing concepts (IP, DNS, Guardrails, Vnets) and exposure to cloud security, AD, authentication methods, RBAC. Proficient and have a thorough understanding of Cloud service offerings on Data, Analytics, AI/ML. Exposure to Analytics AIML services like BigQuery, Vertex AI, Azure AI, OpenAI, Azure Machine Learning etc. Proficient with GCP services like Vertex AI Suite , Agent Builder, Vector Search,DialogFlow,Workbench etc Proficient with GCP Predictive AI services ML Pipelines, Model serving Proficient with GCP Generative AI services , LLMs ,RAG , Reasoning engine,Valuation etc Thorough understanding and handson for GCP Agent space NotebookLM Proficient and have a thorough understanding of Cloud service offerings on Security, Data Protection and Security policy implementation Thorough understanding of landing zone and networking, Security best practices, Monitoring and logging, Risk and controls. Experience working in Agile environment and product backlog grooming against ongoing engineering work Enterprise Change Management and change control, experience working within procedural and process driven environment Desired Qualifications: Deep expertise in GenAI, agentic frameworks, A2A protocols, and MCP, with hands-on experience in LLMs (e.g., GPT-4, Google Gemini, Anthropic Claude). Advanced proficiency in writing Terraform code and modules for infrastructure as code on GCP, Azure with a focus on production deployment. Should have exposure to Cloud governance and logging/monitoring tools. Experience with Agile, CI/CD, DevOps concepts and SRE principles. Experience in scripting (Shell, Python, Go) Excellent verbal, written, and interpersonal communication skills. Ability to articulate technical solutions to both technical and business audiences Ability to deliver & engage with partners effectively in a multi-cultural environment by demonstrating co-ownership & accountability in a matrix structure. Delivery focus and willingness to work in a fast-paced, enterprise environment. Posting End Date: 31 Jul 2025 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants With Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment And Hiring Requirements Third-Party recordings are prohibited unless authorized by Wells Fargo. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Reference Number R-472121

Senior Product Designer 🪄 Location: Bengaluru Experience: 4–6 years Are you ready to shape the future of design at a high-growth, B2B SaaS brand? Do you thrive in fast-paced environments, collaborating with visionary product leaders and talented designers to build world-class products? Are you obsessed with solving real user problems through delightful, scalable, and meaningful design? If yes, we’re excited to meet you. What You'll Own & Impact: Take full ownership of product design for key areas of our AI-powered customer engagement platform. Drive end-to-end design processes - from discovery and conceptualization to final execution. Lead design discussions with Product, Engineering, and Marketing teams; be a strong voice for the user in every decision. Translate complex product flows into simple and intuitive experiences that delight users and deliver business value. Push the boundaries of innovation through elegant, scalable, and user-first design solutions. Advocate for systems thinking and help evolve our design system for consistency, speed, and quality across products. Mentor junior designers; foster a culture of feedback, learning, and experimentation within the team. Present your work confidently to senior stakeholders and cross-functional leaders, influencing direction with empathy and clarity. Stay ahead of industry trends, new tools, and emerging patterns - constantly infusing new thinking into the team. What We’re Looking For: 4–6 years of experience designing software products, ideally within fast-paced SaaS or enterprise environments. A strong portfolio that demonstrates user-centered thinking, systems design, polished visuals, and measurable impact. Deep expertise in UX/UI best practices, information architecture, interaction design, visual hierarchy, and design systems. Comfortable working across ambiguity - from fuzzy problem statements to tight product roadmaps. Experience leading or owning large design initiatives across web and mobile platforms. Sharp attention to detail combined with a bias toward action and experimentation. Working knowledge of how design connects with product goals, technical constraints, and business KPIs. Proficiency in industry-standard tools such as Figma, Sketch, Adobe CC, etc. Bonus: Familiarity with UX writing, micro-interactions, animation tools, and front-end basics. Preferably experience in SaaS org., especially in martech, adtech, or customer experience domains, or from startups. Preferred Qualifications: Bachelor's degree in Design, HCI, or related discipline (or equivalent practical experience). Prior experience working in a cross-functional, agile product team. Prior experience in mentoring/leading. Why Netcore: At Netcore , we’re not just building products - we’re reimagining how brands interact with customers. As the first and leading AI/ML-powered customer engagement & experience platform , we help 5000+ brands across 18+ countries create personalized, intelligent digital journeys. Our design team is a critical pillar of this vision. We’re a close-knit group driven by curiosity, empathy, and a relentless desire to innovate. Learn more about our work and philosophy at design.netcorecloud.com . With a startup soul and enterprise scale, Netcore offers the best of both worlds. We’re proud to be certified as a Great Place to Work three years in a row - and we’re just getting started. Let’s Talk! 👀 If you’re looking for a place where your designs can truly make an impact - not just in screens, but in how global brands serve millions of users - we’d love to hear from you. :)

At Urbint, our mission is to make communities more resilient. We do this by pairing external data with artificial intelligence to identify areas of high risk and prevent catastrophic loss for utilities and infrastructure operators across the country. We are a team of close-knit engineers, entrepreneurs, and data geeks who obsess over problem-solving, new technologies, and making a positive impact in our communities. Job Summary As a Support Analyst, you will work with our enterprise customer base to help achieve their safety and damage prevention goals by solving complex inquiries raised by our customers with Urbint’s AI powered software products and services. The Support Analyst is someone that is passionate about customer success, technically skilled, analytical and has strong problem solving skills. This role provides the opportunity to work cross functionally with our Implementation, Customer Success, ML, Engineering and Product teams and vertical and lateral career growth potential. We’re seeking an exceptional and energetic Support Analyst who thrives amidst the challenges of a high growth environment. What You’ll Do Customer Support: Work with our enterprise customers to resolve technical and complex inquiries with Urbint’s AI powered software products. Provide timely and accurate technical support to clients experiencing issues with our SaaS products via email, chat, phone, and ticketing systems. Issue Resolution: Troubleshoot and resolve technical problems, escalating complex issues to the appropriate teams if necessary, and ensuring the client is informed of the progress. Product Knowledge: Develop a deep understanding of our SaaS products, their features, and functionalities to effectively assist clients and address their inquiries. Documentation: Maintain detailed records of customer interactions, issues, and resolutions, ensuring all information is properly documented for future reference. Create & maintain customer facing knowledge base articles Availability: Work on a 24/7 rotating shift schedule to ensure around-the-clock support coverage, including weekends and holidays. Quality Assurance: Continuously strive to improve the quality of support provided by identifying recurring issues, suggesting improvements, and sharing feedback with the product development team. Ensure support service level agreements (SLAs) are achieved Training: Stay up-to-date with the latest product updates and industry trends through ongoing training and self-study to better assist customers. Who You Are Passionate about helping customers Experience supporting B2B enterprise SaaS customers Previously served in a customer support or similar role Strong analytical and problem solving skills Strong technical aptitude and a passion for technology - ability to understand and explain complex technical products or issues Basic knowledge of SQL is a plus for analyzing data and troubleshooting issues Familiarity with Python is beneficial for understanding automation and debugging workflows Experience using support tools such as; Zendesk, Jira, Salesforce Excellent communication skills - verbal and written Have superior organizational skills and the ability to prioritize and deliver on multiple priorities Familiarity with our industry is a plus Benefits Competitive compensation package Generous Paid Time off, Paid Company Holidays including Mental Health Days Medical Insurance covering self, spouse, 2 children and parents/in-laws We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Job Description Who We Are At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Global Investment Research (GIR) division leverages the latest in cloud, mobile and AI/ML technologies to help define and deliver our digital investment research strategy. As software engineers in GIR, we enable Goldman Sachs's research analysts to model and present investment ideas efficiently and accurately to our clients, whilst ensuring that clients can access these ideas when, where and how they choose. As a software engineer in GIR, you will be part of a diverse and growing global team spread across the Asia, UK and US regional offices and be engaged in all stages of software development from requirements gathering through to development, build, deployment & maintenance of the GIR engineering products work on the firm’s digital Research platform tools that enable research analysts to produce analytically ambitious Investment Research content and deliver to clients through our omni-channel distribution platform across a wide range of formats, blending text, graphics, data, audio and video. have the opportunity to work on complex, event-driven distributed systems that are highly scalable, reliable, available for clients to consume around the clock and globally. leverage AI to super charge your productivity while enabling our clients to make the most of our 3 billion data points and over a million (& still counting) published investment Research reports. engage with other segments of Goldman Sachs including Asset & Wealth Management and Global Banking & Markets, delivering value to clients across the globe. secure our internet facing APIs and portals including our flagship client facing Research Portal from threat actors by building to the highest cyber security standards in the industry. We are looking for talented engineers who have an insatiable appetite for learning, are passionate about delivering commercial solutions innovatively and building highly effective teams. The team operates in an Agile (Scrum+Kanban) fashion, incorporating iterative feedback loops with our clients and continual improvement of the team's processes. Responsibilities And Qualifications How You Will Fulfill Your Potential Design and develop end-to-end software solutions including data modelling, application and service development leveraging multiple technologies Collaborate with engineering and business counterparts as part of a global team Engage with other engineering teams in providing integration solutions Proactively identify efficiency and design improvements to existing systems and processes Skills And Experience We Are Looking For A minimum of 3 year (and preferably more than 2 years) of enterprise software development experience in Java or Javascript (ReactJS/AngularJS/NodeJS) Excellent analytical and hands-on programming skills Team-oriented with strong communication and collaborative skills Enthusiastic about learning new programming languages & software design approaches Passionate about software and technology Preferred Qualifications And Experience Bachelors in a relevant steam followed by 3+ years of work experience as a software engineer Working in a global team Good to have - Knowledge or experience with SOA & RESTful services, Web and service frameworks such as Spring AWS cloud, containers development, distributed systems Linux in an operational context Event driven data pipelines such as Kafka Relational and Non-relational databases and caching technologies such as PostgreSQL, MongoDB, Redis, Elasticsearch Goldman Sachs Engineering Culture At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here! © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.

Fynd is India’s largest omnichannel platform and a multi-platform tech company specializing in retail technology and products in AI, ML, big data, image editing, and the learning space. It provides a unified platform for businesses to seamlessly manage online and offline sales, store operations, inventory, and customer engagement. Serving over 2,300 brands, Fynd is at the forefront of retail technology, transforming customer experiences and business processes across various industries. We are looking for a SDET / QA who not only builds performant, scalable applications but also embraces AI as a development multiplier. Your core job will be building and owning web applications end-to-end, but we expect you to use tools like GitHub Copilot, Cursor, ChatGPT, or equivalent to write, debug, test, and document faster and better. Use AI tools (e.g. Copilot, Cursor, GPT-4) to accelerate code generation, refactoring, testing, and documentation Code with AI — Use GitHub Copilot, Cursor, or similar tools for scaffolding, debugging, and testing What will you do at Fynd? Play an active role in SDET during all phases of our product development from requirements elaboration, design/development, test and deployment Responsible for manual and automated testing activities for a multi-tier web-based platform. This includes writing test cases based on business requirements, test data creation, creating and maintaining automated scripts to test front-end, API’s and database changes Execution of the test phase consistent with the overall project schedules Direct interaction/facilitation of bug resolution with engineering teams Works effectively within a dynamic team environment following standards and best practices and ensure the highest level of quality Ability to understand the technical architecture, its implementation, design patterns, data representations and infrastructure powering these systems. Work closely with SDEs and solution architects to understand the tech stack, design and accordingly build the test frameworks, setup infra and build execution models to drive the end-to-end quality efforts of backend systems/services and client apps Should be able to debug test failures, read through logs, network calls and make preliminary root cause analysis of defect/bug Should be able to develop test plans, test cases, test design documents with good coverage and optimised testing approach Should be able to identify the test cases qualifying for test automation Creating and maintaining all QA related documentation throughout the process Use of tracking tools to log, manage, resolve and report on Some Specific Requirements Proficiency in Python Good understanding of REST APIs and a solid experience in testing APIs. Should have built APIs at some point and practical knowledge on working with them Must have experience in API testing tools like Postman and in setting up the prerequisites and post-execution validations using these tools Ability to develop applications for test automation Should have worked in a distributed micro-service environment Hands-on experience with Python packages for testing (preferably pytest). Should be able to create fixtures, mock objects and datasets that can be used by tests across different micro-services Proficiency in git Strong in writing SQL queries Tools like Jira, Asana or similar bug tracking tool, Confluence - Wiki, Jenkins - CI tool Excellent written and oral communication and organisational skills with the ability to work within a growing company with increasing needs At least 2 years of professional experience in quality assurance or/and software application development Proven track record of ability to handle time-critical projects Good to have Good understanding of CI/CD Knowledge of queues, especially Kafka Ability to independently manage test environment deployments and handle issues around it Performed load testing of API endpoints Should have built an API test automation framework from scratch and maintained it Knowledge of cloud platforms like AWS, Azure Knowledge of different browsers and cross-platform operating systems Knowledge of JavaScript 2+ years experience in test automation using tools like TestNG, Selenium Webdriver (Grid, parallel, SauceLabs), Mocha_Chai front-end and backend test automation Bachelor's degree in Computer Science / IT / Computer Applications What do we offer? Growth Growth knows no bounds, as we foster an environment that encourages creativity, embraces challenges, and cultivates a culture of continuous expansion. We are looking at new product lines, international markets and brilliant people to grow even further. We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially. Flex University We help you upskill by organising in-house courses on important subjects Learning Wallet: You can also do an external course to upskill and grow, we reimburse it for you. Culture Community and Team building activities Host weekly, quarterly and annual events/parties. Wellness Mediclaim policy for you + parents + spouse + kids Experienced therapist for better mental health, improve productivity & work-life balance We work from the office 5 days a week to promote collaboration and teamwork. Join us to make an impact in an engaging, in-person environment!

Job Description Who We Are At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Global Investment Research (GIR) division leverages the latest in cloud, mobile and AI/ML technologies to help define and deliver our digital investment research strategy. As software engineers in GIR, we enable Goldman Sachs's research analysts to model and present investment ideas efficiently and accurately to our clients, whilst ensuring that clients can access these ideas when, where and how they choose. As a software engineer in GIR, you will be part of a diverse and growing global team spread across the Asia, UK and US regional offices and be engaged in all stages of software development from requirements gathering through to development, build, deployment & maintenance of the GIR engineering products work on the firm’s digital Research platform tools that enable research analysts to produce analytically ambitious Investment Research content and deliver to clients through our omni-channel distribution platform across a wide range of formats, blending text, graphics, data, audio and video. have the opportunity to work on complex, event-driven distributed systems that are highly scalable, reliable, available for clients to consume around the clock and globally. leverage AI to super charge your productivity while enabling our clients to make the most of our 3 billion data points and over a million (& still counting) published investment Research reports. engage with other segments of Goldman Sachs including Asset & Wealth Management and Global Banking & Markets, delivering value to clients across the globe. secure our internet facing APIs and portals including our flagship client facing Research Portal from threat actors by building to the highest cyber security standards in the industry. We are looking for talented engineers who have an insatiable appetite for learning, are passionate about delivering commercial solutions innovatively and building highly effective teams. The team operates in an Agile (Scrum+Kanban) fashion, incorporating iterative feedback loops with our clients and continual improvement of the team's processes. Responsibilities And Qualifications How You Will Fulfill Your Potential Design and develop end-to-end software solutions including data modelling, application and service development leveraging multiple technologies Collaborate with engineering and business counterparts as part of a global team Engage with other engineering teams in providing integration solutions Proactively identify efficiency and design improvements to existing systems and processes Skills And Experience We Are Looking For A minimum of 1 year (and preferably more than 2 years) of enterprise software development experience in Java or Javascript (ReactJS/AngularJS/NodeJS) Excellent analytical and hands-on programming skills Team-oriented with strong communication and collaborative skills Enthusiastic about learning new programming languages & software design approaches Passionate about software and technology Preferred Qualifications And Experience Bachelors in a relevant steam followed by 2-3 years of work experience as a software engineer Working in a global team Good to have - Knowledge or experience with SOA & RESTful services, Web and service frameworks such as Spring AWS cloud, containers development, distributed systems Linux in an operational context Event driven data pipelines such as Kafka Relational and Non-relational databases and caching technologies such as PostgreSQL, MongoDB, Redis, Elasticsearch Goldman Sachs Engineering Culture At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here! © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.

About Lowe’s Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India About Team The Customer Insights team uses data and analytics capabilities to provide strategic insights around customer and competitive landscape to help drive effective market strategy for Lowe’s. The team works closely with various key functions across the business to provide insights and recommendations across different business areas. The team is responsible to track, report and analyze various customer and market related metrics and generate actionable insights on key customer segments, customer experience vis-à-vis Lowe’s and our market position along with opportunities to help inform an effective Go To Market Strategy and win market share across key markets, customer segments and product categories. Job Summary The primary responsibility is to report, analyze and provide insights on Customer Experience at Lowe’s across selling channels, customer segments and product categories. The individual will apply analytical methods to combine internal and external data and analyze trends in Customer Experience Metrics and the factors that play a key role driving improvement in those metrics. This position is responsible for following best practices in turning business questions into data analysis, analyzing results and identifying insights for decision making; determine additional research/analytics that may be needed to enhance the solution; and coordinate with cross-functional teams to ensure project continuity and strategic alignment. The individual will also have to proactively take up initiatives to apply modern tools and techniques to improve efficiency, accuracy and overall quality of insights offered to stakeholders. Roles & Responsibilities Core Responsibilities: Analyze Customer feedback, LTR, NPS data to understand in-market trends and where to focus to improve Customer experience. Work with our US (Mooresville) team to assist them in defining various reporting / analysis needs and building appropriate methodologies to provide actionable insights on Experience Metrics. Identifying the appropriate univariate and multivariate analysis to identify key customer trends and insights – Segmentation, Bayesian Networks, Factor analysis etc. Synthesize disparate sources of data—primary and secondary to develop cohesive stories, trends and insights that will drive strategic decision making across the enterprise. Leverage available information across workstreams to help connect dots and provide holistic insights on Customer Experience trends and Strategy. Work with the data operation teams to enhance data capabilities and develop tools to improve ease of access to data and BI for the broader organization Years Of Experience 3-5 Years’ Hands on experience with Customer Experience Analytics / Customer Analytics / Customer Insights Education Qualification & Certifications (optional) Required Minimum Qualifications Master’s degree in Economics / Statistics / Analytics or MBA in Marketing Skill Set Required Primary Skills (must have) Hands on experience in SQL, Teradata, Hadoop, Python Hands-on Analytics Experience of building Statistical / Mathematical models and multivariate analysis like Segmentation, Logistic Regression, Bayesian Networks, Factor analysis, Conjoint analysis, etc. Ability to apply Analytical tools and techniques to extract insights from Structured and Unstructured data. Consulting Skills - Ability to impact business decisions through analytics and research. Hands on experience in creating Executive level audience ready presentations to tell impactful stories. Excellent communication skill to connect with people from diverse background and experience Secondary Skills (desired) Experience on working with text data would be an advantage. Experience in working with Customer Experience or Voice of Customer Metrics will be a good to have. Familiarity with retail industry and key concepts Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.

Job Role: Data Scientist Location: Bangalore, Chennai, Hyderabad, Pune, Kochi, Coimbatore Experience : 6 - 10 Years Job Description Mandatory Skills: 5+ years of experience in AI/ML, data engineering, or software development Strong Programming Skills In Python Familiarity with common data science libraries (e.g., NumPy, pandas, scikit-learn) Understanding of machine learning, deep learning, and NLP concepts Basic knowledge of API integrations Passion for Generative AI with excellent problem-solving and team collaboration skills Nice To Have Skills Experience with Amazon Bedrock Experience With Claude API (Anthropic) Knowledge of Retrieval-Augmented Generation (RAG) or multi-agent systems (e.g., CrewAI)

Job Description Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is currently building a future-ready Gen2 cloud Data Science service platform. At the core of this platform, lies Cloud AI Cloud Service. What OCI AI Cloud Services are: A set of services on the public cloud, that are powered by ML and AI to meet the Enterprise modernization needs, and that work out of the box. These services and models can be easily specialized for specific customers/domains by demonstrating existing OCI services. Key Points: Enables customers to add AI capabilities to their Apps and Workflows easily via APIs or Containers, Useable without needing to build AI expertise in-house and Covers key gaps – Decision Support, NLP, for Public Clouds and Enterprise in NLU, NLP, Vision and Conversational AI. You’re Opportunity: As we innovate to provide a single collaborative ML environment for data-science professionals, we will be extremely happy to have you join us and share the very future of our Machine Learning platform - by building an AI Cloud service. We are addressing exciting challenges at the intersection of artificial intelligence and innovative cloud infrastructure. We are building cloud services in Computer vision for Image/Video and Document Analysis, Decision Support (Anomaly Detection, Time series forecasting, Fraud detection, Content moderation, Risk prevention, predictive analytics), Natural Language Processing (NLP), and, Speech that works out of the box for enterprises. Our product vision includes the ability for enterprises to be able to customize the services for their business and train them to specialize in their data by creating micro models that enhance the global AI models. What You’ll Do Develop scalable infrastructure, including microservices and a backend, that automates training, deployment, and optimization of ML model inference. Building a core of Artificial Intelligence and AI services such as Vision, Speech, Language, Decision, and others. Brainstorm and design various POCs using AI Perpetual AI Services for new or existing enterprise problems. Collaborate with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs, understanding theirs, and addressing external and internal shareholder product challenges. Lead research and development efforts to explore new tools, frameworks, and methodologies to improve backend development processes. Experiment with ML models in Python/C++ using machine learning libraries (Pytorch, ONNX, TensorRT, Triton, TensorFlow, Jax), etc. Leverage Cloud technology – Oracle Cloud (OCI), AWS, GCP, Azure, or similar technology. Qualifications Master’s degree or equivalent experience (preferred) in computer science, Statistics or Mathematics, artificial intelligence, machine learning, Computer vision, operations research, or related technical field. 3+ years for PhD or equivalent experience, 5+ years for Masters, or demonstrated ability designing, implementing, and deploying machine learning models in production environments. Practical experience in design, implementation, and production deployment of distributed systems using microservices architecture and APIs using common frameworks like Spring Boot (Java), etc. Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes). Working knowledge of current techniques, approaches, and inference optimization strategies in machine learning models. Experience with performance tuning, scalability, and load balancing techniques. Expert in at least one high-level language such as Java/C++ (Java preferred). Expert in at least one scripting language such as Python, Javascript, and Shell . Deep understanding of data structures, and algorithms, and excellent problem-solving skills. Experience or willingness to learn and work in Agile and iterative development and DevOps processes. Strong drive to learn and master new technologies and techniques. You enjoy a fast-paced work environment. Additional Preferred Qualifications Experience with Cloud Native Frameworks tools and products is a plus Experience in Computer vision tasks like Image Classification, Object Detection, Segmentation, Text detection & recognition, Information extraction from documents, etc. Having an impressive set of GitHub projects or contributions to open-source technologies is a plus Hands-on experience with horizontally scalable data stores such as Hadoop and other NoSQL technologies like Cassandra is a plus. Our vision is to provide an immersive AI experience on Oracle Cloud. Aggressive as it might sound, our growth journey is fueled by highly energetic, technology-savvy engineers like YOU who are looking to grow with us to meet the demands of building a powerful next-generation platform. Are you ready to do something big? Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Job Description Job Role: Data Scientist / AI Solution Engineer– India contractor Band Level: NA Reports to: Team Leader/Manager Preferred Location : Gurugram, Haryana, India Work Timings: 11:30 am – 08 pm IST Implement Proof of Concept and Pilot machine learning solutions using AWS ML toolkit and SaaS platforms Configure and optimize pre-built ML models for specific business requirements Set up automated data pipelines leveraging AWS services and third-party tools Create dashboards and visualizations to communicate insights to stakeholders Document technical processes and knowledge transfer for future maintenance Requirements Bachelor’s degree in computer science, Data Science, or related field 1-3 years of professional experience implementing machine learning solutions. We can entertain someone who is fresh graduate with significant work in AI in either internship or projects Demonstrated experience with AWS machine learning services (SageMaker, AWS ML Services, and understanding of underpinnings of ML models and evaluations.) Proficiency with data science SaaS tools (Dataiku, Indico, H2O.ai, or similar platforms) Working knowledge of AWS data engineering services (S3, Glue, Athena, Lambda) Experience with Python and common data manipulation libraries Strong problem-solving skills and ability to work independently Preferred Qualifications Previous contract or work experience in similar roles Familiarity with API integration between various platforms Experience with BI tools (Power BI, QuickSight) Knowledge of cost optimization techniques for AWS ML services Prior experience in our industry (please see company overview)

Job Title: Associate Vice President – Presales (AI Consulting & Infrastructure) 📍 Location: Hyderabad (Work from Office) About Us We are a well-funded stealth-mode AI startup building the future of AI Infrastructure and delivering high-impact AI Consulting projects to global enterprises. Our core offerings include: Cloud GPU Infrastructure (leveraging NVIDIA GPUs, custom orchestration, HPC) AI Consulting Services (GenAI, LLMs, NLP, Computer Vision, MLOps) Enterprise AI Solutions (customizable, scalable, and industry-specific) Our mission is to accelerate enterprise AI adoption through powerful infrastructure and expert-led consulting that drives tangible business outcomes. Role Summary We are looking for an experienced and ambitious Associate Vice President – Presales to lead global client engagements and shape the go-to-market solutioning efforts across AI Consulting and AI Infrastructure . This is a strategic leadership role responsible for interfacing with CXO-level stakeholders , translating business needs into AI opportunities, and leading the creation of compelling proposals, pitches, and PoCs. You will serve as the bridge between clients, consulting teams, and product/infrastructure leaders , owning the full presales lifecycle and playing a critical role in revenue growth and solution differentiation. Key Responsibilities Act as the primary presales leader for global client engagements across US, EU, Middle East, and APAC regions. Drive executive-level conversations with CIOs, CTOs, CDOs, Heads of AI/Data, and Innovation leaders. Lead requirement discovery sessions and shape AI transformation roadmaps with strong industry alignment. Build and present tailored proposals that combine AI solutions (GenAI, LLMs, NLP, Vision, MLOps) with GPU Infrastructure where required. Design and lead proof-of-concept (PoC) and pilot engagements , ensuring clarity on scope, value, and outcomes. Respond to RFPs/RFIs, craft SoWs, pitch decks, and commercial proposals with support from consulting and infra teams. Work closely with cross-functional teams (Delivery, Engineering, Product) to ensure feasibility and alignment of proposed solutions. Track and influence key deal metrics – proposal success rate, conversion time, and win/loss ratio. Mentor junior solution consultants and help institutionalize scalable presales processes. What We’re Looking For 10–15 years of experience in Presales / Solution Consulting / Business Development , ideally in AI, Cloud, or Enterprise Tech Services. Demonstrated success engaging global enterprise clients and CXO-level stakeholders . Proven understanding of AI/ML consulting frameworks — including Generative AI, LLMs, NLP, Computer Vision, MLOps, and Data Platforms. Familiarity with AI Infrastructure concepts such as GPU cloud (NVIDIA), model training environments, orchestration layers, and data pipelines. Exceptional communication, proposal writing, and storytelling capabilities. Ability to handle ambiguity, work cross-functionally, and close high-value strategic deals. Preferred Qualifications Experience working in or with AI Startups, Tech Consulting firms, or Cloud-native service providers . Understanding of vertical-specific AI use cases (BFSI, Retail, Healthcare, Manufacturing, etc.). Background in Engineering or Computer Science; MBA or Master’s in relevant field is a plus. Exposure to LLM fine-tuning, AI CoPilots, Prompt Engineering, MLOps, or Vector DB solutions is a strong plus .

Job Description: - You'll be Responsible for:  Design, develop and implement cutting-edge AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications  Lead projects end-to-end while mentoring team members in AI-ML, including traditional ML and emerging AI technologies  Drive innovation in AI agent development and orchestration for automated decisionmaking systems  Establish best practices for responsible AI development and deployment What you'd have:  AI-ML Engineer or Data Scientist with 3 – 11 years of relevant experience  Strong expertise in modern AI frameworks and tools:  ML/DL frameworks (TensorFlow, PyTorch, Keras, Sklearn)  LLM frameworks (LangChain, LlamaIndex, CrewAI, AutoGen)  Vector databases (Pinecone, Weaviate, ChromaDB) – Good To Have  Hands-on experience with:  Generative AI and foundation models  Prompt engineering and LLM fine-tuning  AI agent development and orchestration  RAG (Retrieval-Augmented Generation) systems  Proven experience in data preparation, including:  Advanced data preprocessing techniques  Feature engineering  Data quality assessment and improvement  Proficiency in data exploration tools (Pandas, Numpy, Polars)  Strong programming skills in Python; R is a plus  Deep understanding of:  Statistics and probability  ML/DL algorithms  AI governance and responsible AI practices  Experience with:  Large-scale data processing  Model deployment and MLOps  Cost optimization for AI systems  Track record of 3-5 successful AI/ML projects in production  Excellent communication skills and team leadership ability  Continuous learning mindset for emerging AI technologies Skills:  Statistics and Mathematics  Classical Machine Learning  Deep Learning and Neural Networks  Generative AI and LLMs  Agentic AI Development  MLOps and Production Engineering  Data Engineering  Model Optimization and Tuning  AI Governance and Ethics  Team Leadership Why join us?  Impactful Work: Play a pivotal role in safeguarding Tanla's assets, data, and reputation in the industry.  Tremendous Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with opportunities for professional development.  Innovative Environment: Work alongside a world-class team in a challenging and fun environment, where innovation is celebrated. Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com