Data Engineer II - MLOps Engineer

As a Data Engineer II specializing in MLOps, you will transform machine learning models from experimental notebooks into reliable, production-ready products. You will build and operationalize complex data solutions, instrument pipelines for observability, and develop APIs and scripts to manage model inventory and governance. This role involves close collaboration with data scientists and engineers to ensure models are visible, operable, and maintainable.

• Build and operationalize complex data solutions
• Design and implement ML pipelines in a modern MLOps environment
• Apply software engineering and DevOps practices (CI/CD, monitoring) to data and ML workflows
• Develop robust data solutions using Python, SQL, and Databricks
• Collaborate with data scientists on classic ML and GenAI solutions
• Ensure model visibility, operability, and maintainability