Senior AI/ML Operations Engineer
Core
Senior individual contributor responsible for infrastructure, pipelines, and operational reliability behind production AI and machine learning systems, moving solutions from prototypes to dependable environments.
Role type
Senior IC MLOps and AI Infrastructure Engineer
Builds
Scalable deployment patterns, RAG and agentic systems, data pipelines, and observability/governance practices for production AI/ML
Domain
Healthcare data challenges, Generative AI, Classical ML
Deliverable
production ML models
Required skills
MLOps, CI/CD, Databricks, Snowflake, Unity Catalog, MLflow, Python, SQL, RAG, vector search, MCP servers, model lifecycle management, observability, incident response
Preferred skills
Healthcare domain experience, multi-agent systems, Mosaic AI Gateway
Technologies
Databricks, Snowflake, Unity Catalog, MLflow, MCP, Mosaic AI Gateway
Responsibilities
Deploy and maintain ML/GenAI models and pipelines; develop reusable deployment patterns and tooling; build and maintain data pipelines for ingestion and serving; operate within Databricks/Snowflake governance frameworks; diagnose and resolve production issues; automate and monitor inference workflows; manage model lifecycles via MLflow; build RAG infrastructure and vector search pipelines; deploy and maintain MCP servers; build evaluation infrastructure; implement observability for agents and models; partner with stakeholders on infrastructure needs; mentor junior engineers
Seniority
Senior, hands-on IC
