Machine Learning Engineer- Senior
At a glance
Senior Machine Learning Engineering role at SOSi. Chantilly · full-time · no salary stated · we estimate $181,150–$247,500 across the United States.
SOSi has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Use machine learning and data science methods to tackle mission problems for the government customer
- Build and refine quick prototypes, drawing on open-source models and technologies where they fit
- Adapt work across areas such as image analysis, object detection, search, data triage and behavior detection
- Turn project needs into completed tasks on schedule, working independently or with teammates
- Explain technical findings to nontechnical leaders so they can make informed decisions
What you bring
- You hold an active TS/SCI clearance with poly and are a U.S. citizen
- You have at least five years in a data science or engineering role
- You have built with agentic AI frameworks such as Autogen and use prompt design for tasks like data labeling
- You bring experience with asynchronous Python, production AI/ML deployment, and advanced methods such as clustering or regression
- You have deployed models on Ray clusters with GPUs and cloud resources, and bring ETL experience
Who this fits
This senior role suits an engineer who can solve technical problems independently while collaborating with data scientists, developers and subject-matter experts. The position is on-site in Chantilly, Virginia, and requires an existing TS/SCI clearance with poly; candidates must be U.S. citizens.
From the employer
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
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.
Essential Job Duties
- 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.
Minimum 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.
- 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.
Work Environment
- Office setting with a combination of desk work and meetings.
Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.