Senior ML, MLOps Engineer

At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It’s why we’re coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we’re headed. We’re proud to share our story and Make Amazing Happen at CDW.

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.

What you’ll do:

• 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.

What we expect of you:

• 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.

CDW is committed to being an AI-fluent organization

We’re looking for people who bring curiosity, a learner’s mindset, and a willingness to engage with ever-evolving technology and tools. 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. You don’t need to be an expert today; what matters is your readiness to explore, adapt, and grow with us as we integrate AI responsibly and effectively into our work.

Additionally, CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, our goal is to understand your experience, strengths, skills, and qualifications. As an AI forward company, we see AI not just as a tool, but as a catalyst for new ways of thinking, creating, and communicating. We encourage candidates to embrace an AI mindset, one that’s curious, adaptive, and ready to explore what’s possible. We welcome thoughtful use of AI to expand your perspective and elevate how you share your story, while ensuring your application remains rooted in your own background, judgment, and voice.

About Us

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. That’s why we think of ourselves as coworkers, not just employees—working together to solve complex challenges and deliver real impact for our customers and communities.

 

As a full‑stack, full‑lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes. When you join CDW, you become part of a collaborative environment where your work matters, your growth is supported, and your contributions help shape what’s next.

Together, we deliver the full promise of what technology can do. Together, we Make Amazing Happen.

 

CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards 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.