Senior ML, MLOps Engineer

The Senior ML / MLOps Engineer designs, builds, and operates scalable machine learning solutions on the Databricks platform. This role partners closely with data scientists and analytics teams to product ionize models, enable AI capabilities, and ensure reliable, governed ML workflows.

• Design, develop, and maintain Databricks notebooks and jobs supporting data transformation, analytics, and machine learning workloads.
• Develop, integrate, and deploy custom machine learning models using tools such as Azure Machine Learning and MLflow.
• Implement data and AI use cases on the Databricks platform, ensuring seamless integration and operational reliability.
• Configure and manage external AI models within Databricks Model Serving, including secure management of API keys.
• Build scalable asynchronous agents using native Python async patterns to support higherconcurrency workloads.
• Apply CI/CD and Dev Ops best practices using Azure Dev Ops to automate deployment and management of data pipelines and ML infrastructure.
• Inspect and interpret data, metadata, and database structures using SQL editors and builtin visualizations.
• Collaborate closely with data scientists, analysts, and engineers to translate requirements into production‑ready ML solutions.
• Write clean, modular, well‑documented, and testable Python code following established engineering standards.

• 5 years of experience designing, developing, and deploying machine learning solutions on the Databricks platform.
• Proficiency in Python, including writing modular, testable code and leveraging async programming patterns.
• Familiarity with machine learning concepts, tools, and libraries such as Tensor Flow, PyTorch, Scikitlearn, and MLflow.
• Experience configuring and integrating external AI models and working with AI governance and monitoring capabilities.
• Understanding of CI/CD and Dev Ops practices supporting data and ML workloads.
• Ability to analyze data and metadata using SQL and visualization tools.
• Strong problem‑solving, collaboration, and communication skills.

CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.