Machine Learning Engineer
Peraton
- Fort Lewis, WA
- $112,000-179,000 per year
- Permanent
- Full-time
- 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
- Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD, Will consider HS+12 years of experience with degree in computer science, operations research, or related STEM field.
- 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.
- Active Department of Defense Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance.