We seek a Machine Learning Engineer to support the Multi Domain Task Force. In this role you will apply a thorough understanding of data networks, databases, and cloud architecture to collect, gather, process, store, and provide timely data that feeds the data-driven decision process.

Tasks include:

· Infrastructure Design and Maintenance

· Collaborate with customers, machine learning, and data science teams to understand requirements

· Establish infrastructure based on requirements and constraints

· Supports Continuous Integration/Continuous Deployment (CI/CD) for ML models

· Provide cloud-related data flow engineering services, including paths, staging, scheduling, and data ingestion

· Establish Extract, Transform, Load (ETL) capabilities for data flow

Required:

· Able to work on high-visibility or mission critical aspects of a given program and performs all functional duties independently. Must be able to oversee the efforts of less senior staff and/or be responsible for the efforts of all staff assigned to a specific job.

· Requires programming Languages: Proficient in Python, R, SQL, and scripting, experience with Deep Learning platforms (e.g., PyTorch, TensorFlow, Jupyter Notebook)d, and Version control using Git.

· Additional Skills: Understanding of containerization (Docker, Kubernetes), ability to effectively collaborate with data scientists and engineers, ability to drive Machine Learning process to product incremental model improvements.

· Problem-Solving and Statistical Knowledge: Strong problem-solving skills as applied to Machine Learning issues, comfortable with data manipulation, analysis, and scripting.

· Degree in computer science, operations research, or related STEM field.

· Active Department of Defense Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance. (Can start with Secret)