MLOps Lead Engineer
Tiger Analytics Inc.2 months ago
St. Louis, MO, USAStaff+
Responsibilities
- Own enterprise machine learning operations on the Databricks Lakehouse platform.
- Design, automate, and govern end-to-end ML production lifecycles.
- Build automated CI/CD/CT pipelines using Databricks Asset Bundles, Azure DevOps, or GitHub Actions.
- Implement central governance, enterprise security controls, secret management, multi-environment deployment isolation, and real-time observability.
- Serve as the principal technical authority and bridge platform engineering with client-side operations.
- Lead enablement initiatives, workshops, technical handovers, and upskilling for onsite engineering teams.
Requirements
- 8+ years of experience in data engineering, machine learning engineering, or DevOps.
- 3+ years specifically leading Databricks MLOps or data platform implementations.
- Advanced proficiency in Azure Databricks or AWS Databricks, PySpark, MLflow, Delta Lake, Unity Catalog, and Python.
- Strong experience building automated CI/CD/CT pipelines with Databricks Asset Bundles, Azure DevOps, or GitHub Actions.
- Deep understanding of enterprise security controls, secret management using Key Vault or KMS, and multi-environment deployment isolation.
- Proven client-facing technical leadership experience with strong communication skills for enablement, workshops, and technical handovers.
Benefits
- Hybrid workplace arrangement in St. Louis.
- Full-time position with significant career development opportunities in a fast-growing, challenging entrepreneurial environment.
- High degree of individual responsibility.
Tech Stack
Categories
About Tiger Analytics Inc.
Tiger Analytics Inc. provides data and AI consulting services that deliver machine learning, analytics, and cloud data engineering solutions for large enterprises across industries, including life sciences. The company engages on strategy and implementation projects, from modern BI and data platforms to MLOps, helping Fortune 100 clients turn data into business outcomes. Founded in 2011 and headquartered in Santa Clara, it is privately held with operations across North America, Europe, and Asia-Pacific.