Senior ML Ops Engineer

Location: HSR Layout, Bangalore Skill Set Required : Strong DSA Coding We are seeking a MLOps Engineer to design, build, and operate scalable machine learning and GenAI platforms. You will be responsible for enabling reliable model development, deployment, monitoring, and lifecycle management across data science and engineering teams, with a strong focus on Databricks-based ML ecosystems and LLM-driven workflows.

Design and implement end-to-end MLOps pipelines for training, deploying, and monitoring ML and GenAI models Build and operate Databricks-based ML platforms leveraging Spark for large-scale data processing Develop ML and orchestration workflows using Python Enable and operationalize LLM workflows using LangGraph and LangSmith Automate model lifecycle management including versioning, validation, deployment, and rollback Implement model monitoring for performance, drift, and data quality Partner closely with Data Scientists, ML Engineers, and Platform teams Ensure reproducibility, scalability, and reliability of ML systems in production Optimize ML pipelines for performance, cost, and scalability Define MLOps best practices, standards, and documentation Provide technical leadership and mentor junior engineers