About Position:
Databricks MLOps/LLMOps Engineer responsible for automating, deploying, and operating ML and LLM pipelines on Databricks and AWS to enable scalable, reliable AI solutions.
Role: AWS Platform Engineer
Location: All Persistent Locations
Experience: 8 to 12 years
Job Type: Full Time Employment
What You'll Do:
Build and automate MLOps/LLMOps pipelines using Python, AWS, and Databricks.
Manage ML lifecycle with MLflow and deploy models using Databricks Model Serving.
Operationalize LLM and AI workloads with Mosaic AI and govern data using Unity Catalog.
Automate jobs, clusters, and CI/CD; monitor performance and costs.
Expertise You'll Bring:
Strong experience in Databricks, Python, AWS.
Hands‑on expertise in MLOps/LLMOps, MLflow, and model serving.
Knowledge of LLM/AI workflows, governance, CI/CD, and platform optimization.
Benefits:
Competitive salary and benefits package
Culture focused on talent development with quarterl...