[Remote] Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. MANTECH International Corporation is a leader in delivering advanced solutions to government intelligence and the Department of Defense. They are seeking a Machine Learning Engineer to support scalable machine learning applications and collaborate with Data Scientists to design tools and train models.

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

Skills

• 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

Benefits

• Health Insurance
• Life Insurance
• Paid Time Off
• Holiday Pay
• Short-term and long-term Disability
• Retirement and Savings
• Learning and Development opportunities
• Wellness programs
• Other optional benefit elections

Company Overview

Company H1B Sponsorship