[Hiring] Senior ML, MLOps Engineer @CDW

Role Description

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 productionize models, enable AI capabilities, and ensure reliable, governed ML workflows. The engineer operates with significant autonomy and contributes deep technical expertise across the ML lifecycle.

• 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 higher-concurrency workloads.
• Apply CI/CD and DevOps best practices using Azure DevOps to automate deployment and management of data pipelines and ML infrastructure.
• Inspect and interpret data, metadata, and database structures using SQL editors and built-in 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.

Qualifications

• 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 TensorFlow, PyTorch, Scikit-learn, and MLflow.
• Experience configuring and integrating external AI models and working with AI governance and monitoring capabilities.
• Understanding of CI/CD and DevOps practices supporting data and ML workloads.
• Ability to analyze data and metadata using SQL and visualization tools.
• Strong problem-solving, collaboration, and communication skills.

Benefits

• CDW is committed to being an AI-fluent organization.
• We value adopting AI as a partner, openness to experimentation, and a shared interest in learning together on AI.
• Our goal is to create a culture where AI enhances—not replaces—human creativity and decision-making.
• We encourage candidates to embrace an AI mindset, one that’s curious, adaptive, and ready to explore what’s possible.

Company Description

CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what’s possible through technology. What makes CDW different isn’t just what we do—it’s how we do it.

• At CDW we act as one—building trust, speaking candidly, and working together to achieve more.
• We play to win—focusing on what matters most and delivering for our customers.
• And we think forward—staying curious, moving fast, and continuously learning.
• We believe meaningful work happens when people feel supported, heard, and empowered to contribute.
• As a full-stack, full-lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes.
• Together, we deliver the full promise of what technology can do.
• Together, we Make Amazing Happen.