Job Title: Applied Scientist II Company: Microsoft Job Category: Machine Learning Roles & Responsibilities: Overview The Purview AI Classification team builds advanced AI capabilities to identify and classify sensitive information at enterprise scale, with a strong focus on Named Entity Recognition (NER) and rigorous AI evaluation. We develop and improve ML/NLP models for complex entity recognition scenarios and build evaluation methodologies to systematically measure accuracy, precision, recall, robustness, and model improvements across diverse datasets and real\-world conditions. The Applied Scientist will drive experimentation, dataset and error analysis, model evaluation, and iterative improvements to NER and classification quality, while partnering closely with engineering and product teams to translate scientific advances into scalable capabilities within Microsoft Purview. Responsibilities * Design, develop, and deploy AI/ML systems end\-to\-end, covering data ingestion, feature engineering, model training, evaluation, and production integration. * Build and optimize Generative AI and LLM\-based systems, including agentic workflows, prompt engineering, RAG, and fine\-tuning. * Write production\-grade code in Python, C\#, etc., with emphasis on scalability, performance, security, testability, and maintainability. * Partner with engineering, product management, and applied science teams to translate customer/business requirements into robust technical solutions. * Ship and operate large\-scale AI services in the cloud, owning reliability, latency, throughput, accuracy, and cost efficiency. * Define and execute model evaluation strategies, including offline experimentation, online monitoring, drift detection, bias analysis, and feedback loops. * Implement MLOps practices, including model CI/CD, versioning, rollout strategies, observability, and live\-site monitoring. \- * Apply Responsible AI principles covering privacy, security, explainability, fairness, and compliance throughout development and deployment. * Stay current with advances in GenAI, LLM frameworks, and ML infrastructure, and evaluate their applicability to enterprise security scenarios. Work Location: Hyderabad, Telangana, India Availability: Full time
Job Title: Advanced Data Scientist - Machine Learning Company: Eastman Job Category: Machine Learning Roles & Responsibilities: Founded in 1920, Eastman is a global specialty materials company that produces a broad range of products found in items people use every day. With the purpose of enhancing the quality of life in a material way, Eastman works with customers to deliver innovative products and solutions while maintaining a commitment to safety and sustainability. The company’s innovation\-driven growth model takes advantage of world\-class technology platforms, deep customer engagement, and differentiated application development to grow its leading positions in attractive end markets such as transportation, building and construction, and consumables. As a globally inclusive company, Eastman employs approximately 13,000 people around the world and serves customers in more than 100 countries. The company had 2025 revenue of approximately $8\.8 billion and is headquartered in Kingsport, Tennessee, USA. For more information, visit www.eastman.com . Role Description Data Scientists at Eastman provide actionable insights using advanced analytics to help the company make better and faster decisions. Our centralized Data \& Analytics department is organized into specialized groups including Applied Statistics, AI/Machine Learning, Operations Research, and Generative AI. As an Advanced Data Scientist in the AI/ML team at Eastman, you will develop, implement, and operationalize predictive and prescriptive models using traditional machine learning and computer vision techniques to address business needs and deliver measurable value across diverse functions. You will collaborate with cross\-functional teams across manufacturing, technology, commercial, and business operations, translating complex challenges into practical and scalable machine learning solutions. This role will contribute to the continued growth of our data science capabilities in Hyderabad by applying technical expertise, sharing knowledge with team members, and following established engineering and analytical best practices. You will support the design, development, and adoption of new analytical capabilities, contribute to the evolution of machine learning solutions, and partner with stakeholders across the company to help deliver reliable, production\-ready models. Key Responsibilities * Design, develop, and deploy machine learning models using Python for applications including process optimization, predictive analytics, demand forecasting, computer vision, and decision support systems * Network across manufacturing, R\&D, commercial, and business functions to identify and collaboratively execute on high\-impact challenges solvable through machine learning techniques * Build production\-ready ML solutions within enterprise platforms (Databricks, Azure ML) including model training, endpoint deployment, and monitoring * Develop and maintain scalable, modular, well\-documented code following MLOps best practices including version control, logging and metadata standards, and CI/CD principles * Participate in code reviews and architectural discussions, applying established design and development practices to deliver high\-quality, production\-ready solutions * Collaborate with domain experts and stakeholders across a wide variety of domains to understand needs, integrate ML solutions into workflows, and deliver measurable business value * Communicate complex machine learning methodology, results, and business impact clearly to technical and non\-technical audiences through presentations, documentation, and visualizations * Stay current with advancements in machine learning, and apply them to solve business challenges * Support ML governance processes, risk assessments, and compliance with enterprise standards Work Location: Greater Hyderabad Area Availability: Full time
Job Title: IND Applied AI Scientist Company: The Hartford India Job Category: Machine Learning Roles & Responsibilities: * Experience in statistical modeling and machine learning using Python, including extensive use of pandas, NumPy, scikit\-learn, and strong SQL for data exploration, feature development, and knowledge preparation; familiarity with PyTorch and/or TensorFlow preferred. * Experience across the end\-to\-end modeling lifecycle, including problem framing and requirements gathering, experiment design, offline evaluation, and ongoing production validation and monitoring. * Solid understanding and practical application of core machine learning methods, with 3\+ years of experience applying deep learning architectures in real\-world use cases. * Experience designing and operationalizing model evaluation and monitoring approaches, including test set creation (gold and/or synthetic), metric definition and tracking (e.g., classification, forecasting, ranking/IR, and business KPIs), and supporting A/B testing, drift detection, and performance regression monitoring. * Experience working with unstructured data, including document parsing and OCR fundamentals, text normalization, metadata and lineage awareness, and PII detection or redaction considerations. * Experience using Git and Unix\-based development environments, with experience building reproducible notebooks or pipelines and ensuring repeatable analytical workflows; 3\+ years of exposure to basic container and cloud fundamentals supporting deployment workflows * Experience communicating modeling decisions, design tradeoffs, evaluation results, and risks to both technical and non\-technical audiences, and translating analytical outcomes into measurable business impact. * Experience working with cloud\-based AI platforms such as Google Vertex AI, AWS SageMaker or Bedrock, or Azure AI Services, supporting experimentation, model training, and deployment. * Experience deploying models and integrating scoring logic into production systems, including operation within complex enterprise or packaged application environments (e.g., Duck Creek, Ratabase). * Experience with NLP and Generative AI capabilities, including embeddings, retrieval strategies (dense and hybrid), chunking approaches, prompt engineering, structured outputs, and contributing to Retrieval\-Augmented Generation (RAG) solutions and evaluations. * Experience or exposure to advanced GenAI applications and extensions, such as agent or tool\-use concepts, domain\-specific knowledge graph integration, synthetic data generation, sentiment modeling, and GenAI use cases in filing or compliance contexts. * Experience working within enterprise AI governance expectations, including aligning model development with compliance, privacy, documentation, and ethical standards. Work Location: Greater Hyderabad Area Availability: Full time
Job Title: Senior Machine Learning Engineer, Hyderabad Company: Warner Bros. Discovery Job Category: Machine Learning Roles & Responsibilities: MLEs do rigorous data science and* own the engineering that brings models to life: production ML data pipelines, model training and optimization, and the ML infrastructure — feature stores, training and serving pipelines, and MLOps — that makes our work reliable, repeatable, and scalable. We build primarily on Databricks , with strong working knowledge of Snowflake and AWS , and we are an early, enthusiastic adopter of agentic AI development workflows. About the Role MLEs do rigorous data science and* own the engineering that brings models to life: production ML data pipelines, model training and optimization, and the ML infrastructure — feature stores, training and serving pipelines, and MLOps — that makes our work reliable, repeatable, and scalable. We build primarily on Databricks , with strong working knowledge of Snowflake and AWS , and we are an early, enthusiastic adopter of agentic AI development workflows. Technical Leadership \& Architecture * Architect probabilistic identity resolution systems that connect unauthenticated device IDs and first\-party cookies to households/persons with calibrated confidence across brands. * Lead the evolution of Audience Intelligence , including ML Promo Optimizer, STAT v2, lookalike modeling inside Snowflake DCR, and content segmentation. * Own ML architecture for forecasting use cases such as audience growth, demand, yield, and pricing, ensuring models are monitored and continuously improved. * Bring ML personalization signals, such as genre/content affinity and engagement trends, into batch and future real\-time activation paths. * Mentor MLE 2 engineers through architecture reviews, design discussions, implementation guidance, and hands\-on problem solving. * Partner with the ML leads on technical roadmap shaping, execution planning, capability development, and technical input into hiring profiles. * Represent the Hyderabad team in technical forums with ML, Data Engineering, Product, Ad Sales, and US\-based stakeholders. * Create clear design docs, architecture reviews, readiness reviews, and postmortems that strengthen engineering culture. * Primary platform: AWS , Databricks * Warehouse: Snowflake * Activation: Mosaic, FreeWheel, Google Ad Manager. * Languages: Python (primary), SQL, Scala (as needed). We embrace the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable law. Work Location: Greater Hyderabad Area Availability: Full time
Job Title: AI/ML Engineer Company: EAGLENET, LLC Job Category: Machine Learning Roles & Responsibilities: Job Description: AI/ML Engineer About the Role The ideal candidate will have practical experience building Retrieval\-Augmented Generation (RAG) pipelines, developing Model Context Protocol (MCP) servers and tools, implementing data engineering workflows, and deploying scalable AI/ML solutions in production environments. You will work on developing intelligent applications, integrating LLMs with enterprise APIs and data sources, and building reliable, scalable AI\-powered systems. Key Responsibilities * Design, develop, and maintain RAG pipelines, including document chunking, embeddings, vector search, and re\-ranking. * Build MCP (Model Context Protocol) servers and tools to connect internal APIs, services, and data sources with LLM\-powered agents. * Design, develop, and schedule DAG\-based workflows using Databricks Workflows and/or Apache Airflow. * Build and maintain scalable ETL and machine learning pipelines using PySpark, Delta Lake, and MLflow. * Develop production\-ready Python APIs and backend services using FastAPI or Django. * Write unit tests, integration tests, and maintain high\-quality, reusable, and maintainable code. * Implement LLM evaluation frameworks, guardrails, and monitoring for model performance, cost, and latency. * Collaborate with cross\-functional teams to integrate AI/ML solutions into existing business applications. * Troubleshoot, optimize, and continuously improve the performance, scalability, and reliability of AI/ML applications. 1\. Programming \& Backend Development 8\. Development \& Deployment Tools * Experience building AI agents and agentic workflows using LangGraph. * Familiarity with RAG evaluation frameworks such as RAGAS and LangSmith. * Knowledge of recommendation systems. * Experience implementing CI/CD pipelines using GitHub Actions. * Understanding of LLM observability, prompt optimization, and production monitoring. Work Location: Hybrid remote in Hyderabad, Telangana Work Location: TS, India Availability: Full time
Job Title: Machine Learning-Lead AI and Data Science Engineer II Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: * Implement large\-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud\-based platforms. * Leverage automation, cognitive and science\-based techniques to manage data, predict scenarios and prescribe actions. * Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As\-a\-Service offerings for continuous insights and improvements. Job Title: Manager Job Summary: We are looking for a Generative AI Team Lead with hands\-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: * Lead and deliver large\-scale AI/Gen AI projects across multiple industries and domains. * Liaison with on\-site and client teams to understand various business problem statements and project requirements. * Lead a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data \& AI professionals to deliver projects from inception to implementation. * Brainstorm, build \& improve AI/Gen AI models developed by the team \& identify scope for model improvements \& best practices. * Assist and participate in pre\-sales, client pursuits and proposals. * Drive a human\-led culture of Inclusion \& Diversity by caring deeply for all team members. \#AI\&DATAROLESAUGUST29 \#AIE2027 Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state\-of\-the\-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Work Location: Mumbai, Maharashtra, India Availability: Full time
Job Title: Machine Learning-Lead AI and Data Science Engineer II Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: * Implement large\-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud\-based platforms. * Leverage automation, cognitive and science\-based techniques to manage data, predict scenarios and prescribe actions. * Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As\-a\-Service offerings for continuous insights and improvements. Job Title: Manager Job Summary: We are looking for a Generative AI Team Lead with hands\-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: * Lead and deliver large\-scale AI/Gen AI projects across multiple industries and domains. * Liaison with on\-site and client teams to understand various business problem statements and project requirements. * Lead a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data \& AI professionals to deliver projects from inception to implementation. * Brainstorm, build \& improve AI/Gen AI models developed by the team \& identify scope for model improvements \& best practices. * Assist and participate in pre\-sales, client pursuits and proposals. * Drive a human\-led culture of Inclusion \& Diversity by caring deeply for all team members. \#AI\&DATAROLESAUGUST29 \#AIE2027 Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state\-of\-the\-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Work Location: Chennai, Tamil Nadu, India Availability: Full time
Job Title: INDStaff Software Engineer - AI Company: The Hartford Job Category: Machine Learning Roles & Responsibilities: We are seeking a highly skilled T7 AI Engineer to join our engineering team in Hyderabad, India. This role combines hands\-on AI/ML engineering with deep software development expertise to build, deploy, and operate production\-grade AI systems at enterprise scale. You will design and implement AI\-powered solutions — from LLM integrations and agentic workflows to ML pipelines and intelligent automation — while driving AI adoption and engineering excellence across teams. Key Responsibilities * Design, build, and deploy production AI systems including RAG pipelines, agentic workflows, multi\-model orchestration, and intelligent automation * Integrate large language model (LLM) APIs and AI/ML services into enterprise applications (GCP Vertex AI) * Implement and optimize prompt engineering strategies, fine\-tuning pipelines, embeddings, and vector search solutions * Build and maintain AI orchestration workflows using frameworks such as LangChain, Semantic Kernel, AutoGen, CrewAI, or LlamaIndex * Develop custom AI agents, tools, and autonomous workflows that solve real business problems * Establish evaluation frameworks for AI systems — measuring accuracy, latency, cost, hallucination rates, and business outcomes Full Stack Development \& Integration * Build end\-to\-end AI\-powered applications spanning frontend, backend, APIs, and data layers * Develop robust backend services using Python (FastAPI/Django) or Node.js to support AI workloads * Implement and optimize RESTful APIs, GraphQL endpoints, and event\-driven integrations for AI services * Build modern frontend interfaces for AI\-powered features using React, Angular, or Vue.js with TypeScript * Write clean, well\-tested, production\-ready code with a focus on maintainability and operational excellence * Design and implement MLOps/LLMOps pipelines for reliable model deployment, versioning, and lifecycle management * Configure and manage cloud\-native AI infrastructure (AWS, GCP) including model serving, orchestration, and auto\-scaling * Implement observability for AI systems — monitoring model drift, token costs, latency, throughput, and quality metrics * Build and maintain CI/CD pipelines for AI model deployment, automated testing, and continuous evaluation * Design for resilience: failover strategies, fallback models, circuit breakers, and graceful degradation AI\-Augmented Development * Leverage AI coding assistants (GitHub Copilot, Cursor, Claude, etc.) to dramatically accelerate development workflows * Use AI tools for code generation, refactoring, test writing, documentation, and code review * Develop and maintain custom AI\-powered developer tools, automations, and internal platforms * Establish guardrails, security practices, and governance for responsible AI usage in engineering * Influence engineering culture by evangelizing AI\-first development practices across teams * Train and upskill team members on effective use of AI tools, LLM integration patterns, and ML best practices * Contribute to internal knowledge bases, tech talks, and communities of practice * Partner with product, design, and data science teams to identify and deliver AI\-driven opportunities * Participate in architecture reviews and design discussions, ensuring AI solutions are production\-ready from day one Work Location: Telangana, India Availability: Full time
Job Title: Associate Data Scientist - Value & Access Strategy Company: Amgen Job Category: Machine Learning Roles & Responsibilities: India \- Hyderabad JOB ID: R\-258314 LOCATION: India \- Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Oct. 30, 2026 CATEGORY: Value and Access ABOUT AMGEN ABOUT THE ROLE Role Description: In this role, you will work on production\-grade AI systems, contributing to the development of scalable, intelligent solutions that integrate structured and unstructured data, power decision\-making, and deliver measurable business impact. You will collaborate with senior data scientists, engineers, and business partners to bring cutting\-edge GenAI, LLM, and ML solutions from prototype to production. Roles \& Responsibilities: * AI Copilots \& Agents: Build LLM\-powered assistants, implement prompt engineering, Retrieval\-Augmented Generation (RAG) pipelines, and agentic workflows and related applications * Intelligent Document \& Contract AI: Extract, classify, and query insights from unstructured documents (contracts, policies, SOPs); build NLP pipelines for semantic search and summarization * Data \& AI Platforms: Work on data ingestion, transformation, and feature engineering pipelines; contribute to scalable AI/ML infrastructure * Real\-time AI Systems: Build APIs, dashboards, and backend services that power AI\-driven insights for end users * Analytics \& Decision Engines: Develop anomaly detection models (e.g., claims, pricing, Gross\-to\-Net); build forecasting and optimization models to support commercial decisions * Collaborate with cross\-functional technical teams to translate business needs into technical specifications, focusing on AI\-driven automation and insights * Participate in code reviews, design discussions, and adopt best practices across MLOps and software engineering Work Location: Hyderābād, India Availability: Full time
Job Title: Machine Learning Engineer III Company: Brightstar Lottery Job Category: Machine Learning Roles & Responsibilities: Brightstar is an innovative, forward\-thinking global leader in lottery that builds on our renowned expertise in delivering secure technology and producing reliable, comprehensive solutions for our customers. As a premier pure play global lottery company, our best\-in\-class lottery operations, retail and digital solutions, and award\-winning lottery games enable our customers to achieve their goals, fulfill player needs and distribute meaningful benefits to communities. Brightstar has a well\-established local presence and is a trusted partner to governments and regulators around the world, creating value by adhering to the highest standards of service, integrity, and responsibility. Brightstar has approximately 6,000 employees. For more information, please visit www.brightstarlottery.com. Overall Step into the role of Machine Learning Engineer IV at Brightstar in Hyderabad, Telangana, India. Guide the progress of our AI and machine learning solutions, championing innovation and excellence. You may be evaluated on important skills for success in the role, including monitoring, scalability, change management, security, as well as business insight and discernment. Purpose Of The Role To build, develop, and improve software and solutions using various engineering methodologies, delivering outstanding business, platform, and technology capabilities for our customers and colleagues. Accountabilities * Development and delivery of high\-quality software solutions using industry\-aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. * Cross\-functional collaboration with product managers, marketing, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. * Partnering with team members, joining in code assessments, and advocating for a culture of coding excellence and sharing information. * Keeping up\-to\-date with industry technology trends and advancements, participating in the organization’s technology networks to cultivate a culture of technical excellence and advancement. * Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. * Implementation of effective unit testing practices to ensure accurate code composition, readability, and reliability. Other Responsibilities You May Need To Support * Engage in complex analysis of data from multiple sources of information, both internal and external, to solve problems creatively and effectively. * Identify ways to mitigate risk and develop new policies/procedures in support of the control and governance agenda. * Collaborate with other business\-aligned support areas to keep up to speed with business activity and strategy. * Communicate complex information, which could include sensitive or difficult\-to\-communicate content, effectively to various audiences. * Influence or convince collaborators to achieve desired outcomes. Success Profile * Leading Complexity * Leading People * Leading the Business * Leading Self All Brightstar employees have a role in information security. Annual training will be assigned and required as appropriate. Work Location: Hyderabad, Telangana, India Availability: Full time
