MLOps Lead Engineer

We are seeking an experienced MLOps Lead Engineer to take full ownership of our enterprise Machine Learning operations on the Databricks Lakehouse platform. In this role, you will design, automate, and govern end-to-end ML production life cycles—spanning continuous integration and deployment (CI/CD/CT), central governance, and real-time observability. You will act as the principal technical authority, bridging platform engineering with client-side operations by leading upskilling initiatives for onsite engineering teams.

• Experience: 8+ years in Data Engineering, Machine Learning Engineering, or Dev Ops, with 3+ years specifically leading Databricks MLOps/Data platform implementations.
• Core Technical Stack: Advanced proficiency in Azure Databricks / AWS Databricks
  , Py Spark ,
  MLflow
  , Delta Lake
  , Unity Catalog
  , and Python
  .
• Automation & Dev Ops: Strong experience building automated CI/CD/CT pipelines using Databricks Asset Bundles (DABs), Azure Dev Ops, or Git Hub Actions.
• Governance & Security: Deep understanding of enterprise security controls, secret management (Key Vault/KMS), and multi-environment deployment isolation.
• Stakeholder Management: Proven track record in a client-facing technical lead role, with strong communication skills to drive enablement, workshops, and technical handovers.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.