AI/ML Engineer

Responsibilities

• Job Duties Design 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, and performance 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.

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.

Essential

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.

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

Work Environment Working conditions are normal for an office environment. Fast paced, deadline-oriented environment. Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.

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.