Machine Learning Engineer

MANTECH is seeking a motivated Machine Learning Engineer to join their team. The role involves supporting scalable machine learning applications and collaborating with Data Scientists to design tools and train models using enterprise data.

Responsibilities:

• Collaborate with cross-functional teams—including data scientists, engineers, and architects—to build machine learning models, training tools, and simulation environments that support business functions
• Implement the full MLOps lifecycle to deploy, operationalize, scale, and manage automated machine learning models and analytical solutions
• Develop and test ML applications according to requirements, running targeted experiments to optimize overall system performance
• Train and embed machine learning models into applications using programming languages (Python, Java, R) and core libraries (TensorFlow, Keras, Scikit-learn)
• Explore and visualize data to uncover key insights and identify specific factors that impact model accuracy and performance
• Manage and deploy cloud-based ML services across major cloud computing environments, including AWS, Azure, or Google Cloud Platform (GCP)
• Follow Agile methodologies to deliver production-ready, highly testable code in small, efficient, and continuous iterations

Requirements:

• Master's degree in Applied Mathematics, Statistics, Computer Science, or related fields
• Verifiable work experience defining and implementing data pipelines and machine learning algorithms
• Proficiency in Agile Development and Git Operations
• Experience creating, maintaining, and communicating complex technical documentation for machine learning systems
• An active Secret clearance is required
• Experience with the Sponsor's primary cyber risk and compliance automation tools