[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