Skip to main content

About the role

Company Description: Founded in 1989 and headquartered in Reston, Virginia, SOSi is a private defense and government solutions business specializing in advanced technology systems and mission support. Its capabilities include data science, software development, network engineering, intelligence, surveillance, and reconnaissance (ISR), and logistics.
Job Description: *Position is contingent upon contract award*SOSi is seeking an Artificial Intelligence/Machine Learning (Al/ML) Engineer. The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural language processing (NLP), and reinforcement learning. Al/ML engineering services will be provided to support Sponsor's initiatives, leveraging expertise in Al/ML algorithms, software development, and cloud computing. Essential Job DutiesDesign and develop Al/ML models and ensembles using Sponsor's data and requirements. Preprocess, clean, and analyze large volumes of structured and unstructured Sponsor data to assess utility for Al model training and testing. Collaborate with staff officers to conceptualize, design, develop, and execute experiments verifying model performance and system soundness. Deploy and maintain Al/ML models and ensembles in cloud-based environments, ensuring scalability, reliability, and security. Develop and maintain extract, transform, and load (ETL) pipelines, SQL configurations, andperformance metrics to support Al/ML applications. Document and communicate methods and findings using Sponsor's formats and templates, which could include authoring analytic publications, producing ad-hoc reports, creating data visualizations, delivering slideshow presentations or briefings, or documenting methods in GitHub repositories. Provide technical education to staff on an ad-hoc basis on AI/ML related topics. Provide subject matter expertise in Al/ML to support Sponsor's initiatives.
Qualifications
Minimum Requirements: Active TS/SCI w/ Poly. Demonstrated professional experience with the following required tools, systems, services, and data types: Python or R programming languages for AI/ML development. Deep learning frameworks, such as PyTorch, TensorFlow, or Keras. Version control systems, such as GitHub. Cloud computing services from major providers, including experience with cloud-based AI/ML development and deployment. AI/ML model development and deployment, including model turning, experimentation, validation, and benchmarking. Preferred
Qualifications: Experience with AI/ML model explainability and interpretability techniques. Familiarity with Sponsor's enterprise services, security controls, and data management practices. Experience with front-end web development frameworks, such as Flask. Experience with Tableau to produce visualizations and dashboards. Experience with verification and validation test benches.
Additional Information
Work Environment: Working conditions are normal for an office environment. Fast paced, deadline-oriented environment. Working at SOSiAll interested individuals will receive consideration and will not be discriminated against for any reason.
Summary
Type: Full-time
Function: Other
Experience level: Not Applicable
Industry: Information Technology And Services

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this