Machine Learning Engineer

at  Peraton

ABOUT PERATON

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

QUALIFICATIONS

Required:

• 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.
• 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 pro gramming 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), a bility to effectively collaborate with data scientists and engineers, a bility 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, c omfortable with data manipulation, analysis, and scripting.
• Active Department of Defense Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance.

Peraton seeks a Machine Learning Engineer to support the Multi Domain Task Force. Location: Joint Base Lewis McChord, WA. 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