SOSi is seeking a Machine Learning Engineer to support a US government customer in Chantilly, VA, by applying best practices and state-of-the-art data science and machine learning processes to solve mission challenges.
Requirements
- Existing TS/SCI (with poly). This security clearance requires U.S. citizenship. Candidates will not be nominated for new clearances.
- Minimum 5 years of experience in a data science/engineer role.
- Experience developing and using agentic AI frameworks including Autogen.
- Experience with prompt engineering beyond traditional code writing and debugging. Understanding of how to craft prompts for discrete tasks such as data labeling and processing.
- Experience with asynchronous Python development using frameworks like Ray and FastAPI.
- Experience developing and deploying AI/ML models as part of production systems, implementing software development best practices for scalability and reliability.
- Experience developing and applying advanced machine learning methods including clustering, regression, optimization, recommender engines, and artificial neural networks.
Responsibilities
- Leverage data science and machine learning processes to answer mission challenges.
- Develop and iterate rapid prototype solutions, leveraging open-source models and technologies where possible
- Flexibility to support topics such as object detection, data triage, search/optimization, image/video analysis, facial recognition, behavior detection, and automated discovery.
- Apply excellent problem-solving skills to address technical challenges, both independently and as part of a team in a fast-paced environment.
- Comprehend project requirements and execute tasks accordingly, ensuring alignment with project goals and timelines.
- Effectively communicate technical concepts and deliver results to non-technical leadership and stakeholders, facilitating informed decision-making.
Other
- Existing TS/SCI (with poly) security clearance required, which necessitates U.S. citizenship.
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field; OR equivalent experience.
- Experience in the US Intelligence Community.
- Office setting with a combination of desk work and meetings.
