ML Ops And LLM Ops -AWS Engineer AIML

Job Profile

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.