workday
Machine Learning Engineer - TS/SCI with Polygraph
General Dynamics Information Technology
USA
Full-time
Senior · 8+ years experience
Discovered 3 weeks ago
flaskjenkinskeraspythonpytorchsql
Role Overview
Seize your opportunity to make a personal impact as an Artificial Intelligence and Machine Learning Engineer.
GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career.
At GDIT, people are our differentiator.
As a Machine Learning Engineer, you will help ensure today is safe and tomorrow is smarter.
HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACT
• Develop and adapt Large Language Models (LLM) and Natural Language Processing (NLP) methodologies using artificial intelligence and machine learning (AI/ML) frameworks and programming languages to create new capabilities to improve analytic workflows and address key intelligence questions.
Key Skills for This Role
flaskjenkinskeraspythonpytorchsql
Full Job Posting
Skills:
- Certifications:
- Experience:
- US Citizenship Required:
- Job Description:
- Seize your opportunity to make a personal impact as an Artificial Intelligence and Machine Learning Engineer. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. At GDIT, people are our differentiator. As a Machine Learning Engineer, you will help ensure today is safe and tomorrow is smarter.
- HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACT
- Develop and adapt Large Language Models (LLM) and Natural Language Processing (NLP) methodologies using artificial intelligence and machine learning (AI/ML) frameworks and programming languages to create new capabilities to improve analytic workflows and address key intelligence questions.
- WHAT YOU’LL NEED TO SUCCEED:
- Education: Bachelor or Master’s Degree in an IT discipline or the equivalent combination of education, technical certifications or training, or work experience
- Experience: 8+ years
- Technical skills:
- Professional or academic experience working with modern deep learning frameworks such as PyTorch, TensorFlow, or Keras. (Key Experience)
- Hands‐on experience using GPUs for accelerated computing. (Key Experience)
- Professional or academic experience in testing, evaluating, or validating the performance of AI systems (with a focus on LLM-based systems (Key experience)
- Professional or academic experience in experiment design and execution to test the performance of LLMs against a benchmark. (Key exeperience)
- Experience tuning neural networks (including LLMs) on custom datasets and applying them to specific use cases.
- Experience building AI/ML models and ensembles, selecting appropriate Python libraries, preparing data, performing analyses, and evaluating model performance.
- Proficiency in Python or R
- Solid SQL skills, including working with to include using common table expressions, set operations, aggregated functions and nested subqueries.
- Experience using version control tools such as GitHub and Jenkins.
- Security Clearance Level: TS/SCI with Polygraph
- Location: McLean, VA, On Customer Site
- Skills and abilities desired:
- Experience working with Hugging Face Transformers and its model hub.
- Demonstrated professional or academic experience in the development of benchmarks to measure LLM performance. (Key experience)
- Experience with cloud‐based development and architecture.
- Experience with front‐end or application frameworks like Flask.
- Ability to build text‐focused machine learning solutions (classification, topic modeling) using SciKit‐Learn or deep‐learning approaches.
- Experience developing applications for semantic search.
- Proficiency creating dashboards and visualizations in Tableau.
- Ability to communicate modeling decisions, methodologies, and results clearly to technical and non‐technical audiences.
- Experience building or using verification and validation test benches.
- Familiarity with Explainable AI (XAI) techniques.
- Experience working with ONNX (Open Neural Network Exchange).
- GDIT IS YOUR PLACE:
- 401K with company match
- Comprehensive health and wellness packages
- Internal mobility team dedicated to helping you own your career
- Professional growth opportunities including paid education and certifications
- Cutting-edge technology you can learn from
- Rest and recharge with paid vacation and holidays
- #OpportunityOwned
- #GDITCareers
- #WeAreGDIT
- #JET
- #GDITEnhanced2026
- #VA_2026Alumni
- Scheduled Weekly Hours:
- Travel Required:
- Telecommuting Options:
Work Location:
- Additional Work Locations:
- Total Rewards at GDIT:
- Our Identity Verification Process:
- About Our Work:
- gdit.com/tc.
Qualifications
- Certifications
- Seize your opportunity to make a personal impact as an Artificial Intelligence and Machine Learning Engineer. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. At GDIT, people are our differentiator. As a Machine Learning Engineer, you will help ensure today is safe and tomorrow is smarter.
- HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACT
- Develop and adapt Large Language Models (LLM) and Natural Language Processing (NLP) methodologies using artificial intelligence and machine learning (AI/ML) frameworks and programming languages to create new capabilities to improve analytic workflows and address key intelligence questions.
- Education: Bachelor or Master’s Degree in an IT discipline or the equivalent combination of education, technical certifications or training, or work experience
- Experience: 8+ years
- Professional or academic experience working with modern deep learning frameworks such as PyTorch, TensorFlow, or Keras. (Key Experience)
- Hands‐on experience using GPUs for accelerated computing. (Key Experience)
- Professional or academic experience in testing, evaluating, or validating the performance of AI systems (with a focus on LLM-based systems (Key experience)
- Professional or academic experience in experiment design and execution to test the performance of LLMs against a benchmark. (Key exeperience)
- Experience tuning neural networks (including LLMs) on custom datasets and applying them to specific use cases.
- Experience building AI/ML models and ensembles, selecting appropriate Python libraries, preparing data, performing analyses, and evaluating model performance.
- Proficiency in Python or R
- Solid SQL skills, including working with to include using common table expressions, set operations, aggregated functions and nested subqueries.
- Experience using version control tools such as GitHub and Jenkins.
- Security Clearance Level: TS/SCI with Polygraph
- Location: McLean, VA, On Customer Site
- Experience working with Hugging Face Transformers and its model hub.
- Demonstrated professional or academic experience in the development of benchmarks to measure LLM performance. (Key experience)
- Experience with cloud‐based development and architecture.
- Experience with front‐end or application frameworks like Flask.
- Ability to build text‐focused machine learning solutions (classification, topic modeling) using SciKit‐Learn or deep‐learning approaches.
- Experience developing applications for semantic search.
- Proficiency creating dashboards and visualizations in Tableau.
- Ability to communicate modeling decisions, methodologies, and results clearly to technical and non‐technical audiences.
- Experience building or using verification and validation test benches.
- Familiarity with Explainable AI (XAI) techniques.
- Experience working with ONNX (Open Neural Network Exchange).
- US Citizenship Required
- 401K with company match
- Comprehensive health and wellness packages
- Internal mobility team dedicated to helping you own your career
- Professional growth opportunities including paid education and certifications
- Cutting-edge technology you can learn from
- Rest and recharge with paid vacation and holidays
- #OpportunityOwned
- #GDITCareers
- #WeAreGDIT
- #JET
- #GDITEnhanced2026
- #VA_2026Alumni
- Scheduled Weekly Hours
- 8+ years
- gdit.com/tc.
About General Dynamics Information Technology
IT Services & Consulting28000 employeesFounded 1999
Provider of enterprise IT services and defense solutions.
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