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CDW

Senior ML, MLOps Engineer

CDW

Senior ML / MLOps Engineer at CDW developing scalable machine learning solutions on the Databricks platform. Collaborating with teams to ensure reliable, governed ML workflows in a remote setting.

Posted 5/17/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
AzurePythonPyTorchSQLTensorflow

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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

Comp & perks
  • Health insurance
  • Professional development opportunities
  • Remote work options

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonDatabricksmachine learningasync programmingCI/CDDevOpsSQLTensorFlowPyTorchScikit-learn
Soft Skills
problem-solvingcollaborationcommunication