Artificial Intelligence​/Machine Learning Engineer NLP, AWS, PyTorch) Software Engineer​/Developer -AIML

• Annapolis Junction, Maryland

Artificial Intelligence/Machine Learning Engineer 1 - (NLP, AWS, PyTorch)

Clearance: TS/SCI - Polygraph required within 7 years
Location: Annapolis Junction, Maryland

Description:

Designs, creates, tests, and productizes AI/ML algorithms to solve business challenges and support customer requirements.

Works across model architecture, data pipeline interaction, and metrics application, interpretation, and presentation; requires familiarity with application development, infrastructure management, data engineering, and data governance.

Uses training, retraining, deploying, scheduling, monitoring, and iterative improvement to create scalable solutions, and may lead geographically diverse teams as a primary POC for AI-related matters.

• 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
• Conduct rigorous model evaluation, including performance analysis and benchmarking
• Perform error analysis, debugging, and model diagnostics to ensure quality and reliability
• Work with cloud-based AI platforms, especially AWS Sagemaker, to deploy and scale models
• Integrate machine learning models into production environments, ensuring seamless integration with other systems
• Contribute to the development and maintenance of the full stack for AI model-based applications (front-end and back-end)
• Collaborate with software engineers to build scalable and efficient deployment pipelines
• Work closely with data scientists, product teams, and engineers to translate business requirements into technical solutions
• Document workflows, model design processes, and technical specifications
• Perform statistical analysis
• Run machine learning algorithms
• Use results to improve models
• Train and retrain systems when needed
• Run standard test and evaluation protocols
• Provide system integration oversight

Position

Required Skills:

• Knowledge and experience of language models, including Marian and multi-lingual model development
• Knowledge of computational linguistics
• Experience with open-source model libraries
• Deep Learning Containers (DLC) and GPU technologies
• Optimization and tuning
• Strong Java, C, and C++ programming experience
• Strong proficiency in AI/ML frameworks such as Tensor Flow, PyTorch, or Hugging Face
• Hands-on experience with AWS tools like Sage Maker, Lambda, EC2, and S3
• Solid understanding of data structures, algorithms, and system design
• Extensive experience in machine learning model development, including natural language processing (NLP)
• Experience with model evaluation, optimization, and performance monitoring
  
  Experience with model versioning and management using tools such as MLFlow or Git
• Familiarity with containerization tools such as Kubernetes

Position Desired

Skills:

• Willingness to support occasional on-call duties
• Experience in a government or defense-related environment
• Experience with secure data handling and compliance requirements
• Experience working with Large Language Models (LLMs)

AIML1

Qualifications:

Two (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.

Three (3) years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelor’s degree.

Salary Range: $170k-$208k (Annually)

The range displayed above is a likely salary range for this position. This is not, however, a…