Machine Learning Engineer

Role Overview

MANTECH is seeking a Machine Learning Engineer to build and operationalize scalable machine learning models and services. You will partner with Data Scientists and cross-functional engineering teams to design training tools, simulation environments, and production ML systems handling large volumes of data.

Responsibilities

• Collaborate with cross-functional teams (data scientists, engineers, architects) to build:
  • ML models
  • training tools and simulation environments
  • solutions supporting mission and business functions
• Implement the full MLOps lifecycle to deploy, operationalize, scale, and manage automated ML models and analytics
• Develop and test ML applications according to requirements, including running targeted experiments to improve system performance
• Train and embed ML models into applications using programming languages and ML libraries
• Explore and visualize data to uncover insights and determine factors affecting model accuracy and performance
• Manage and deploy cloud-based ML services across major cloud platforms (AWS, Azure, or GCP)
• Follow Agile practices to deliver production-ready, well-tested code in continuous, small iterations

Requirements

• Master’s degree in Applied Mathematics, Statistics, Computer Science, or related field
• Verifiable experience defining and implementing data pipelines and ML algorithms
• Proficiency in Agile Development and Git operations
• Experience creating, maintaining, and communicating complex technical documentation for ML systems
• Active Secret clearance required

Preferred Qualifications

• Experience with the Sponsor’s primary cyber risk and compliance automation tools