MLOps LLMOps Engineer

Key Responsibilities

• Design and implement end-to-end MLOps / LLMOps pipelines for model training, validation,
• deployment, and monitoring.
• Deploy ML and LLM models to production using CI/CD best practices.
• Manage model versioning, artifact storage, and lifecycle management.
• Implement monitoring frameworks for model performance, drift, latency, and cost.
• Operationalize GenAI / LLM workflows, including prompt versioning and RAG pipelines.
• Ensure scalability, availability, and security of deployed models.
• Collaborate with AI/ML Engineers and Application Developers to enable smooth integration.
• Implement governance, auditing, and responsible AI controls.
• Troubleshoot production issues and perform root-cause analysis.
• Document MLOps/LLMOps processes, architecture, and best practices.