Verified Job On Employer Career Site Job Summary: TEKsystems is a leading provider of business and technology services, helping clients activate ideas and solutions for transformation. They are seeking a mission-driven Machine Learning Engineer to design, develop, and deploy secure ML pipelines that meet DoD mission requirements, ensuring compliance with various frameworks. Responsibilities: • Develop and deploy scalable machine learning models using Azure Databricks and the Lakehouse architecture. • Build end-to-end ML pipelines with MLflow, Delta Lake, and Azure Machine Learning (AML) for training, evaluation, and model lifecycle management. • Collaborate with data scientists, DevSecOps engineers, and cybersecurity SMEs to ensure secure data processing and model deployment. • Engineer feature pipelines and automate feature stores in Azure Feature Store or within Databricks. • Integrate models into production-grade systems with secure APIs or batch scoring jobs. • Enforce security and data governance via Unity Catalog, role-based access control (RBAC), and Key Vault integration. • Conduct exploratory data analysis (EDA), data cleaning, and statistical validation aligned with DoD data assurance principles. • Collaborate on ATO documentation and contribute to ML-specific security artifacts and POA&Ms. • Support model bias detection, adversarial robustness, & interpretability Qualifications: Required: • Deep experience in Azure and Databricks • Design, develop, and deploy secure, scalable, and high-performance ML pipelines • Compliance with RMF, NIST, and CMMC frameworks • Develop and deploy scalable machine learning models using Azure Databricks and the Lakehouse architecture • Build end-to-end ML pipelines with MLflow, Delta Lake, and Azure Machine Learning (AML) for training, evaluation, and model lifecycle management • Collaborate with data scientists, DevSecOps engineers, and cybersecurity SMEs • Engineer feature pipelines and automate feature stores in Azure Feature Store or within Databricks • Integrate models into production-grade systems with secure APIs or batch scoring jobs • Enforce security and data governance via Unity Catalog, role-based access control (RBAC), and Key Vault integration • Conduct exploratory data analysis (EDA), data cleaning, and statistical validation aligned with DoD data assurance principles • Collaborate on ATO documentation and contribute to ML-specific security artifacts and POA&Ms • Support model bias detection, adversarial robustness, & interpretability • Skills: Azure, Azure ML, AI, artificial intelligence, Databricks, Azure Databricks, Python, PySpark Company: At TEKsystems, they understand people. Every year they deploy over 80,000 IT professionals at 6,000 client sites across North America, Founded in 1994, the company is headquartered in Hanover, Maryland, USA, with a team of 10001+ employees. The company is currently Late Stage. TEKsystems has a track record of offering H1B sponsorships.