Job Title: AI/ML Engineer Company: EAGLE NET Group 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: Hyderābād, India Availability: Full time
Job Title: Senior AI/ML Engineer | Freelance / Part-Time !! Company: Platinus Technologies Job Category: Machine Learning Roles & Responsibilities: Job Description Roles \& Responsibilities * Develop and support AI/ML\-based applications. * Work on Machine Learning and Deep Learning models. * Develop Generative AI and LLM\-based solutions. * Work on RAG pipelines, prompt engineering, and model integration. * Support Python\-based AI/ML development projects. * Debug, optimize, and maintain AI/ML solutions. Work Location: Hyderabad(Begumpet), 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
Job Title: AI Engineer Company: ALTCloudAI Job Category: Machine Learning Roles & Responsibilities: ⚡ Work in an AI\-native engineering team — we use AI\-assisted development and MCP\-based tooling day to day, so you will be shipping software the way modern engineering teams increasingly do Work Location: Hyderabad, Telangana, India Availability: Full time
Job Title: AI/ML Engineer Company: NationsBenefits Job Category: Machine Learning Roles & Responsibilities: At NationsBenefits, we are leading the transformation of the insurance industry by developing innovative benefits management solutions. We focus on modernizing complex back\-office systems to create scalable, secure, and high\-performing platforms that streamline operations for our clients. As part of our strategic growth, we are focused on platform modernization — transitioning legacy systems to modern, cloud\-native architectures that support the scalability, reliability, and high performance of core backoffice functions in the insurance domain. The candidate should have strong practical exposure to model development, deployment, monitoring, and scalable AI Key Responsibilities: * Develop and deploy AI/ML and Generative AI solutions for enterprise use cases. * Build and maintain end\-to\-end ML pipelines from training to production deployment. * Implement monitoring, observability, and performance tracking for AI systems. * Work with APIs, vector databases, embeddings, and RAG\-based applications. * Collaborate with cross\-functional teams to optimize scalable AI deployments. Work Location: Hyderabad, Telangana, India Availability: Full time
Job Title: Python Junior architect or Tech Lead Company: kk Software Associates Job Category: Machine Learning Roles & Responsibilities: Role: Python Junior architect or Tech Lead Mandate Skills : Python Junior architect/Tech Lead, Fast API, Angular, end to end solution architect and designing, agile, Safe framework Work location : Hyderabad only(one needs to be flexible to work 4 days in client office) Job Description As a Architect, you will be responsible for designing, developing, enhancing, and maintaining scalable backend services and BFF (Backend\-for\-Frontend) layers. You will work closely with cross\-functional teams to deliver high\-quality, reliable, and maintainable software solutions that support critical business workflows. Key Roles \& Responsibilities: * Develop and maintain backend services using Python 3\.10 and FastAPI. * Design and implement RESTful APIs, ensuring scalability, performance, and security. * Build and support BFF layers that enable seamless frontend integration. * Collaborate with product managers, QA teams, and developers to deliver product enhancements. * Troubleshoot and resolve production issues across APIs, databases, logs, deployments, and frontend interactions. * Create and execute unit, integration, and API tests to ensure application quality. * Participate in code reviews and contribute to architecture and design discussions. * Support CI/CD processes, containerization, and deployment activities. * Assist in root\-cause analysis, issue triaging, and continuous product improvement. * Contribute to engineering best practices, process improvements, and knowledge sharing initiatives. * 12\+ years of professional software development experience. * Strong experience in Python development, preferably Python 3\.10\. * Hands\-on experience with FastAPI and Uvicorn. * Experience developing REST APIs and backend services. * Strong understanding of data validation, error handling, dependency injection, and asynchronous programming. * Experience building or maintaining BFF architectures. * Familiarity with microservices architecture and distributed systems. * Strong debugging and troubleshooting skills across application layers. * Experience designing and executing unit tests, integration tests, and API tests. * Knowledge of service\-to\-service communication patterns. * Ability to work independently with strong ownership and accountability. * Excellent verbal and written communication skills. * Python 3\.x * FastAPI * Uvicorn * REST API Development * Backend\-for\-Frontend (BFF) Architecture * Microservices * Backend Integration Testing * Unit Testing \& Integration Testing * Dependency Injection * Async Programming * API Design \& Development * Error Handling \& Validation * Git * Agile/Scrum Methodologies * Angular 17 * Kubernetes * Docker * CI/CD Pipelines * Authentication \& Session Management * Token\-Based Security * Release Management * Deployment Troubleshooting * SBOM Generation * Product Support \& Incident Management * Scientific or Laboratory Workflow Applications * Cloud\-Native Application Development Work Location: Hyderabad, India Availability: Full time
Job Title: Manager Company: Pepsico Job Category: Machine Learning Roles & Responsibilities: We are looking to hire AI Platforms Manager role at Hyderabad location. Please find the below Job description and please share updated resumes at lokesh.burka@pepsico.com TheAI Observability Engineer (Agentic Frameworks \& AI Agent Operations Center Developer)builds and operationalizesagentic AI solutionsusing modern orchestration frameworks and contributes to anAI Agent Operations Centerthat enables safe, reliable, and observable agent behavior at scale. This role focuses on developing agent workflows (planning, tool execution, memory, and RAG), integrating guardrails and evaluations, and delivering operational capabilities such as run management, telemetry, and incident triage for production agents. Responsibilities: 1. AI Agent Operations Center (70%) * Build operations center capabilities for agent runtime management: agent registry, versioning, deployment tracking, and run histories * Enable operational workflows such as incident triage, replay/debug runs, trace correlation, and root\-cause analysis across agent steps * Implement operational dashboards and views for agent health: success rate, latency, tool failure rate, cost per run, and loop detection * Instrument agent flows end\-to\-end using OpenTelemetry (or equivalent), enabling correlation across prompts, tool calls, retrieval, and responses * Implement semantic conventions and tagging standards (agent name/version, tool name, model provider, environment, tenant/app) * Partner with SRE/observability teams to ensure production\-grade monitoring, alerting, and operational readiness 5. Integration \& Deployment (10%) * Build and maintain CI/CD pipelines for agent services and operations center components, including automated testing and deployment * Automate onboarding for new agent use cases (templates, scaffolding, configuration checks) * Drive best practices for secure, scalable, and cost\-effective agent deployments 7. Continuous Learning (10%) * Stay updated with the latest advancements in AI and machine learning technologies and integrate these into existing or new AI agents. * Conduct thorough testing and validation to ensure the reliability and accuracy of AI agents and solutions. * Decision\-Making Autonomy Moderate Significant autonomy in the technical aspects of AI model development and implementation, working under the strategic direction provided by the Senior AI Solutions leads. * Supervision Required Moderate Operates with general guidance from the Senior AI Solutions leads, with regular updates for alignment and support. * Complexity of Role High The role requires managing complex AI/ML projects, working with large datasets, and ensuring successful integration with existing systems while maintaining scalability. * Cross\-Functional Interactions Yes – Regular interaction with Data Science, Engineering, IT, digital products and business stakeholders to ensure effective AI solution Observability. Work Location: India Availability: Full time
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
