Lead DataOps / MLOps

What you'll do

• Build and operate CI/CD, orchestration, observability, governance automation, and reproducible environments for data and ML systems.
• Establish production MLOps practices including model deployment, monitoring, drift detection, and retraining automation.
• Set technical standards, mentor engineers, and oversee reliability, security, compliance, and cost optimization.

What they ask for

• 8+ years in data, ML, or platform engineering, or SRE/DevOps, including several years operating production data and/or ML systems.
• Technical leadership experience, including setting standards, building automation, and mentoring engineers.
• Strong Azure DevOps CI/CD and Git workflow expertise; hands-on orchestration and modern data-stack experience on Databricks.
• MLOps, Azure infrastructure-as-code, Python and SQL, observability/SRE, and secure handling of sensitive data experience.

Nice to have

• Financial services or insurance platform experience and familiarity with model risk and regulatory audits.
• Databricks administration, Azure Machine Learning, containers, data-quality tooling, or responsible-AI governance experience.

Pay

USD 124,500–170,000 base salary (per year)

Tools

Azure DevOps (ADO), Dagster, dlt (dltHub), dbt, Databricks Lakehouse, Delta Lake, MLflow, Microsoft Azure

AI focus

Builds MLOps foundations for model deployment and serving, monitoring, drift detection, retraining, and model governance.