Machine Learning Engineer - TS/SCI with Poly
USA VA McLean - Customer Proprietary (VAC393), United States
General Dynamics Information Technology
Delivering technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community.Type of Requisition:
RegularClearance Level Must Currently Possess:
Top Secret SCI + PolygraphClearance Level Must Be Able to Obtain:
Top Secret SCI + PolygraphPublic Trust/Other Required:
NoneJob Family:
Artificial IntelligenceJob Qualifications:
Skills:
Artificial Intelligence (AI), Keras, Language Models, PyTorch, TensorflowCertifications:
NoneExperience:
8 + years of related experienceUS Citizenship Required:
YesJob 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’ Degree in an IT discipline
- Experience: 8+ years
- Technical skills:
- Demonstrated experience tuning neural networks, such as LLMs, on custom data sets and applying results to specific use cases.
- Demonstrated professional or academic experience developing models and ensembles in the AI/ML space, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.
- Demonstrated professional or academic experience using Python or R.
- Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.
- Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
- Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
- Demonstrated experience leveraging GPUs for accelerated computing.
- Security Clearance Level: TS/SCI with Polygraph
- Location: McLean, VA, On Customer Site
- Skills and abilities desired:
- Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
- Demonstrated experience with cloud computing development and architecture.
- Demonstrated experience with front-end web development frameworks such as Flask.
- Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (SciKit Learn-) or deep learning models.
- Demonstrated experience developing applications for semantic search.
- Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.
- Demonstrated academic or professional experience communicating methodological choices and model results.
- Demonstrated experience with verification and validation test benches.
- Demonstrated experience with Explainable AI (XAI) techniques.
- Demonstrated experience with ONNX (Open Neural Net Exchange).
- US Citizenship Required
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
#GDITEnhanced2025
#JET
Scheduled Weekly Hours:
40Travel Required:
Less than 10%Telecommuting Options:
OnsiteWork Location:
USA VA McLeanAdditional Work Locations:
Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.Join our Talent Community to stay up to date on our career opportunities and events atEqual Opportunity Employer / Individuals with Disabilities / Protected VeteransTags: Architecture Classification Consulting Deep Learning Flask GitHub HuggingFace Jenkins Keras LLMs Machine Learning ML models NLP ONNX Python PyTorch R Scikit-learn Security SQL Tableau TensorFlow Topic modeling Transformers
Perks/benefits: 401(k) matching Career development Competitive pay Flex hours Health care Insurance Medical leave Parental leave Team events
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