Senior ML, MLOps Engineer

About the role

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.

Responsibilities

• 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.
• Analyze data and metadata 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.

Requirements

• 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.

Qualifications

• Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Experience with Databricks and Azure Machine Learning.
• Knowledge of cloud platforms like AWS, Google Cloud, or Azure.
• Experience with data engineering and data warehousing technologies.
• Experience with machine learning frameworks and libraries.
• Experience with data modeling and database design.

Skills

• Python programming.
• Data analysis and visualization.
• Machine learning algorithms and techniques.
• CI/CD and DevOps practices.
• SQL and database management.
• Collaboration and teamwork.

Benefits

• Competitive compensation package.
• Flexible work schedule.
• Professional development opportunities.
• Health and wellness programs.
• Employee recognition and rewards.

Pay

Commensurate with experience.

Schedule

Full-time.

Benefits

• Health and wellness programs.
• Employee recognition and rewards.

Company Culture

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.

About CDW

CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what’s possible through technology. 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.

EEO Statement

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.