# MLOps Lead Engineer

**Company:** [Tiger Analytics Inc.](http://jobs.workable.com/companies/sJUKvzuwkZUks5P23HYp2P.md)
**Location:** St. Louis, United States
**Workplace:** hybrid
**Employment type:** Full-time
**Department:** MLE

[Apply for this job](http://jobs.workable.com/view/810f93e3-c0cf-4baa-adbc-cc7aa7a357c6)

## Description

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

### **Required Qualifications & Experience**

-   **Experience:** 8+ years in Data Engineering, Machine Learning Engineering, or DevOps, with 3+ years specifically leading Databricks MLOps/Data platform implementations.
-   **Core Technical Stack:** Advanced proficiency in **Azure Databricks / AWS Databricks**, **PySpark**, **MLflow**, **Delta Lake**, **Unity Catalog**, and **Python**.
-   **Automation & DevOps:** Strong experience building automated CI/CD/CT pipelines using **Databricks Asset Bundles (DABs)**, Azure DevOps, or GitHub 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.

## Benefits

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.