Machine Learning Engineer - TS​/SCI Polygraph

Type of

Requisition :
Regular Clearance Level Must Currently Possess:
Top Secret SCI + Polygraph Clearance Level Must Be Able to Obtain:
None Public Trust/Other

Required:

None Job Family:
Data Science and Data Engineering

Job Qualifications:

Skills:

Artificial Intelligence (AI), Keras, Language Models, PyTorch, Tensorflow

Certifications:

None

Experience:

8 + years of related experience US Citizenship

Required:

Yes

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.

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, Tensor Flow, 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 Git Hub and Jenkins.

Security Clearance Level: TS/SCI with Polygraph

• 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 Sci Kit-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

The likely salary range for this position is $168,300 - $227,700. This is not, however, a guarantee of compensation or salary. Rather,…