Machine Learning Engineer- Senior

Overview:

SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in Chantilly, VA. In this job you will work with other talented data scientists, software developers, and SMEs to apply the best practices and state of the art data science and machine learning processes. This role requires the ability to solve complex problems independently and collaboratively in a dynamic work environment. Strong communication skills are essential for translating technical concepts to non-technical stakeholders and delivering actionable insights.

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.

Qualifications:

• 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.
• Deploying models into multi-node Ray clusters utilizing various GPU resources.
• Experience with developing and deploying resources to cloud environments.
• Experience working in Linux and Windows environments and managing resources for efficiency.
• Demonstrated ETL expertise.

Preferred Qualifications:

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field; OR equivalent experience.
• Experience in the US Intelligence Community.

Working Conditions:

• Office setting with a combination of desk work and meetings.