Artificial Intelligence/Machine Learning (AI/ML) Engineer (2026-0238)
At a glance
Mid-level Machine Learning Engineering role at Acclaim Technical Services. Chantilly · full-time · no salary stated · we estimate $154,463–$174,413.
Acclaim Technical Services has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build AI/ML models for tasks such as prediction, computer vision, language processing and generative AI
- Prepare structured and unstructured data, then test its suitability for training and evaluating models
- Work with staff officers to design experiments that check model performance and system soundness
- Put models into cloud environments and maintain their security, reliability and ability to scale
- Create ETL pipelines and SQL configurations, then share findings through reports, visuals, briefings or documentation
What you bring
- A relevant bachelor's degree and five years of related work, or additional experience in place of the degree
- Professional AI/ML development using Python or R, plus experience with a deep learning framework such as PyTorch or another listed option
- Hands-on model deployment and evaluation, including tuning, validation, experimentation and benchmarking
- Experience using cloud services to develop and deploy AI/ML models, along with version control such as GitHub
Who this fits
This role suits a mid-level AI/ML engineer who can take models from development through cloud deployment and explain results to staff. You must hold TS/SCI with Poly and work in Chantilly, Virginia.
From the employer
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.
ABOUT
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.
SALARY TRANSPARANCY
There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families.
At ATS, you will be eligible to participate in a comprehensive benefits package such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more at Employee Resources
EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENT
ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status.