ML Ops and LLM Ops -AWS Engineer AIML

Job Title: ML Ops and LLM Ops -AWS Engineer AIML Company: BMW TechWorks India Job Category: Machine Learning Roles & Responsibilities: You will be responsible for designing, building, and operating scalable MLOps and LLMOps platforms on AWS , enabling Machine Learning, GenAI, and Agentic AI solutions to move reliably from development into production. * Design and implement end\-to\-end MLOps and LLMOps pipelines on AWS. * Build automated pipelines for model/LLM training, evaluation, versioning, deployment, monitoring, and rollback. * Develop scalable deployment patterns for ML models, LLM applications, RAG and Agentic AI solutions. * Build and maintain CI/CD pipelines for ML and GenAI workloads. * Develop reusable Infrastructure as Code (IaC) components for cloud infrastructure and AI platforms. * Containerize and orchestrate ML/LLM workloads using Docker and Kubernetes/EKS. * Implement orchestration workflows using Argo Workflows and related cloud\-native technologies. * Establish production monitoring and observability for models and LLM applications, covering latency, quality, failures, resource utilization, and cost. * Enable secure integration of foundation models and GenAI services using Amazon Bedrock and related AWS services. * Work closely with Data Scientists, AI Engineers, Software Engineers, Cloud/DevOps teams, and architecture stakeholders to industrialize AI solutions. * Support production operations, troubleshooting, scalability, reliability, security, and continuous improvement of AI services. + Model training and experiment management + Evaluation and monitoring + Production operations and rollback * Hands\-on experience deploying and operating ML solutions on AWS. * Experience implementing CI/CD and Infrastructure as Code for production environments. * Experience operating containerized workloads using Docker and Kubernetes. * Experience deploying or operating LLM/GenAI applications in production is highly desirable. * Experience with RAG, LLM evaluation, prompt/model versioning or Agentic AI systems is an advantage. * Experience working in enterprise\-grade or regulated production environments is preferred. * Automotive software development experience is an advantage. Work Location: Maharashtra, India Availability: Full time

Required Experience, minimum: 4 years Required Experience, maximum: 8 years * Minimum Qualification: B.Tech/B.E ### Education * University degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field. * Ideally specialization or hands\-on project experience in Machine Learning, Cloud Engineering, or Generative AI. ### Experience * Strong hands\-on experience in MLOps, DevOps, Cloud Engineering, or ML Platform Engineering. * Practical experience covering the complete ML production lifecycle: Key Skills: Machine Learning, Python, PyTorch, Model Training Salary: Not disclosed