ML) Engineer (2026-0238)

Acclaim Technical Services•Chantilly, VA

1d•Onsite

About The Position

Acclaim Technical Services (ATS) is seeking an Artificial Intelligence/ Machine Learning Engineer with TS/SCI w/ Poly to join their team in Chantilly, VA. The role involves designing, developing, testing, evaluating, and deploying AI/ML models and ensembles across various domains including generative AI, classification, prediction, computer vision, natural language processing (NLP), and reinforcement learning. The engineer will leverage expertise in AI/ML algorithms, software development, and cloud computing to transition models from experimentation to secure, scalable production environments.

Requirements

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.

Nice To Haves

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.

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.