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# AI/ML Engineer

- **Company:** S O S I Inc
- **Location:** Chantilly, VA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Extract Transform Load (ETL), Data Visualization, Github, R (Programming Language), Python (Programming Language), Machine Learning, Tensorflow, Verification and Validation (Software), SQL Databases, Tableau (Software), Pytorch, Flask (Web Framework), Deep Learning, Keras, Data Management, Software Version Control
- **Published:** October 15, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9243714/aiml-engineer

## About the Role

* 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., * 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., * Working conditions are normal for an office environment.
 * Fast paced, deadline-oriented environment.

## Description

* 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.