AI/ML Engineer
Job in
Hagerstown, Washington County, Maryland, 21749, USA
Listed on 2026-02-12
Listing for:
GliaCell Technologies
Full Time, Per diem
position Listed on 2026-02-12
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Overview
Glia Cell is seeking an AI/ML Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract.
Key Requirements- Possess an active or rein-statable TS/SCI with Polygraph security clearance. (This position requires in-scope poly, within 7 years)
- U.S. Citizenship
- 2+ years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A B.S. degree in advanced math (e.g., calculus, linear algebra or Bayesian statistics), computer science or related STEM discipline from an accredited college or university is required. 3 years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelor’s degree
- Experience with standard machine learning frameworks, e.g., PyTorch, Tensor Flow
- Work well independently as well as on a team
- Strong communication skills
- Seeking an AI/ML Engineer responsible for building, training, fine-tuning, and evaluating advanced language models
- The ideal candidate will have hands-on experience with state-of-the-art ML techniques for natural language processing (NLP) and a strong understanding of full-stack development
- Work across the model development lifecycle and collaborate with cross-functional teams to deliver high-impact solutions
- Knowledge and experience of Language models
- Specific experience with Marian and multi-lingual model development
- Knowledge of Computation Linguistics is a plus
- Experience with Open-Source model libraries, Deep Learning Containers (DLC), GPU technologies and optimization / tuning
- Strong Java, C, C++ programming experience
- Willingness to support occasional on-call duties is a plus
- Model Development & Training:
Build, train, and fine-tune machine learning models, particularly language models - Apply best practices in model training, tuning, and optimization
- Design and implement solutions for model performance improvement
- Evaluation & Testing:
Conduct rigorous model evaluation, including performance analysis and benchmarking - Perform error analysis, debugging, and model diagnostics to ensure quality and reliability
- Model Deployment & Integration:
Work with cloud-based AI platforms (especially AWS Sage Maker) to deploy and scale models - Integrate ML models into production environments, ensuring seamless integration with other systems
- Full-Stack Engineering:
Contribute to the development and maintenance of the full stack for AI model-based applications - Collaborate with software engineers to build scalable deployment pipelines
- Collaboration & Reporting:
Work with data scientists, product teams, and engineers to translate business requirements into technical solutions - Document workflows, model design processes, and technical specifications
- Strong proficiency in AI/ML frameworks such as Tensor Flow, PyTorch, or Hugging Face
- Expertise in model training, evaluation, and deployment
- Hands-on experience with AWS tools like Sage Maker, Lambda, EC2, and S3
- Experience in developing full-stack software applications (JavaScript, Python, Java, etc.)
- Solid understanding of data structures, algorithms, and system design
- Extensive experience in ML model development, including NLP
- Experience with model evaluation, optimization, and performance monitoring
- Proven experience in software engineering with strong coding skills
- Experience working in a government or defense-related environment is highly preferred
- Experience with model versioning and management using MLFlow or Git
- Familiarity with containerization tools (e.g., Kubernetes)
- Strong problem-solving and analytical skills
- Excellent communication and collaboration abilities
- Experience with secure data handling and compliance requirements
- Experience working with Large Language Models (LLMs)
Annapolis Junction, Maryland
Salary RangeThe salary range for this full-time position is $115,000 to $190,000. Our salary ranges are determined by position,…
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