MLOps Lead Engineer

Tiger AnalyticsSt. Louis, MO
Onsite

About The Position

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 lifecycles—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.

Requirements

  • 8+ years in Data Engineering, Machine Learning Engineering, or DevOps
  • 3+ years specifically leading Databricks MLOps/Data platform implementations
  • Advanced proficiency in Azure Databricks / AWS Databricks
  • Advanced proficiency in PySpark
  • Advanced proficiency in MLflow
  • Advanced proficiency in Delta Lake
  • Advanced proficiency in Unity Catalog
  • Advanced proficiency in Python
  • Strong experience building automated CI/CD/CT pipelines using Databricks Asset Bundles (DABs), Azure DevOps, or GitHub Actions
  • Deep understanding of enterprise security controls
  • Deep understanding of secret management (Key Vault/KMS)
  • Deep understanding of multi-environment deployment isolation
  • Proven track record in a client-facing technical lead role
  • Strong communication skills to drive enablement, workshops, and technical handovers

Responsibilities

  • Design, automate, and govern end-to-end ML production lifecycles
  • Manage continuous integration and deployment (CI/CD/CT)
  • Oversee central governance and real-time observability
  • Act as the principal technical authority
  • Bridge platform engineering with client-side operations
  • Lead upskilling initiatives for onsite engineering teams

Benefits

  • Excellent opportunity for significant career development
  • Fast-growing and challenging entrepreneurial environment
  • High degree of individual responsibility
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