AI/ML Engineer

SOSiWashington, DC
$70,562 - $146,553Onsite

About The Position

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.

Requirements

  • Active Top Secret Clearance.
  • Demonstrated professional experience with Python or R programming languages for AI/ML development.
  • Demonstrated professional experience with deep learning frameworks, such as PyTorch, TensorFlow, or Keras.
  • Demonstrated professional experience with version control systems, such as GitHub.
  • Demonstrated professional experience with cloud computing services from major providers, including experience with cloud-based AI/ML development and deployment.
  • Demonstrated professional experience with AI/ML model development and deployment, including model turning, experimentation, validation, and benchmarking.

Nice To Haves

  • 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.

Responsibilities

  • 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.
  • 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.
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