Acclaim Technical Services
Jobs
Artificial Intelligence/Machine Learning (AI/ML) Engineer (2026-0238)
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The Role
Designs, develops, tests, evaluates, and deploys AI/ML models across generative AI, classification, prediction, computer vision, NLP, and reinforcement learning. Responsibilities include data preprocessing, experimentation, cloud deployment, ETL pipeline development, model validation, performance benchmarking, documentation, technical presentations, staff education, and serving as an AI/ML subject matter expert.
Summary Generated by Built In
Acclaim Technical Services (ATS), founded in 2000, is a premier provider of tech-enabled solutions and operational services to a broad range of U.S. Federal agencies. As an Employee Stock Ownership Plan (ESOP) company—an uncommon advantage in our sector—we foster a culture of ownership, accountability, and shared success. This commitment to our people shows: ATS is consistently recognized as a top workplace in the DC area and continues to experience strong, strategic growth
We are actively hiring an Artificial Intelligence/ Machine Learning with TS/SCI w/ Poly to join our team working in Chantilly, VA. You will design, develop, test, evaluate, and deploy AI/ML models and ensembles across generative AI, classification, prediction, computer vision, natural language processing (NLP), and reinforcement learning. You will draw on your expertise in AI/ML algorithms, software development, and cloud computing to take models from experimentation to secure, scalable production.
Key Responsibilities:
We are actively hiring an Artificial Intelligence/ Machine Learning with TS/SCI w/ Poly to join our team working in Chantilly, VA. You will design, develop, test, evaluate, and deploy AI/ML models and ensembles across generative AI, classification, prediction, computer vision, natural language processing (NLP), and reinforcement learning. You will draw on your expertise in AI/ML algorithms, software development, and cloud computing to take models from experimentation to secure, scalable production.
Key Responsibilities:
- Design and develop AI/ML models and ensembles using the customer's data and requirements.
- Preprocess, clean, and analyze large volumes of structured and unstructured data to assess its usefulness for AI model training and testing.
- Work with staff officers to conceptualize, design, develop, and run experiments that verify model performance and system soundness.
- Deploy and maintain AI/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 that support AI/ML applications.
- Document and communicate methods and findings using the customer's formats and templates. This may include authoring analytic publications, producing ad-hoc reports, creating data visualizations, delivering presentations or briefings, and documenting methods in GitHub repositories.
- Provide technical education to staff on AI/ML topics on an ad-hoc basis.
- Serve as an AI/ML subject matter expert supporting the customer's initiatives.
- Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field, plus 5 years of relevant experience. Additional years of experience may be accepted in place of a degree.
- Demonstrated professional experience with Python or R for AI/ML development.
- Experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
- Experience developing and deploying AI/ML models, including model tuning, experimentation, validation, and benchmarking.
- Experience with cloud computing services from major providers, including cloud-based AI/ML development and deployment.
- Experience with version control systems such as GitHub.
- Experience with AI/ML model explainability and interpretability techniques.
- Experience with verification and validation test benches.
- Experience with web development frameworks such as Flask.
- Experience using Tableau to produce visualizations and dashboards.
- Familiarity with the customer's enterprise services, security controls, and data management practices.
- Prior experience supporting the Intelligence Community.
Skills Required
- Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field, plus five years of relevant experience; additional experience may substitute for the degree.
- Professional experience using Python or R for AI/ML development.
- Experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
- Experience developing and deploying AI/ML models, including tuning, experimentation, validation, and benchmarking.
- Experience with cloud computing services and cloud-based AI/ML development and deployment.
- Experience with version control systems such as GitHub.
- Experience with AI/ML model explainability and interpretability techniques.
- Experience with verification and validation test benches.
- Experience with web development frameworks such as Flask.
- Experience using Tableau for visualizations and dashboards.
- Familiarity with enterprise services, security controls, and data management practices.
- Prior experience supporting the Intelligence Community.
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The Company
What We Do
Acclaim Technical Services is a leading language, operations, and technology services company supporting U.S. Federal agencies, specializing in intelligence analysis, software engineering, and systems engineering for the defense and intelligence communities.
