Keras Engineer Jobs

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Machine Learning Engineer

General Dynamics Information Technology McLean, VA

McLean, VA

Today

$168k - $228k/yr Full time AI Ai Ml Analytics

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Job Description

Build intelligence with cutting-edge AI. General Dynamics Information Technology (GDIT) is seeking an Artificial Intelligence and Machine Learning Engineer to develop and adapt Large Language Models (LLMs) and Natural Language Processing (NLP) methods that strengthen analytic workflows and support key intelligence questions.

Compensation: $168,300 - $227,700 per year
401(k) with company match
Comprehensive health and wellness packages
Paid vacation and holidays to rest and recharge
Professional growth: paid education and certifications
Internal mobility support through a dedicated team focused on career ownership
Learn with modern tooling across GPUs, LLM/NLP frameworks, and applied model development

Responsibilities

Develop and adapt Large Language Models (LLM) and NLP methodologies using AI/ML frameworks and programming languages to deliver new capabilities for analytic workflows and intelligence questions.
Apply hands-on GPU accelerated computing to support deep learning and model development.
Tune neural networks (including LLMs) on custom datasets and apply them to defined use cases.
Build AI/ML models and ensembles, select Python libraries, prepare and analyze data, and evaluate model performance.

Requirements

Bachelor or Master’s Degree in an IT discipline, or equivalent combination of education, technical certifications/training, or work experience.
8+ years of experience.
Professional or academic experience with modern deep learning frameworks such as PyTorch, TensorFlow, or Keras (key experience).
Hands-on GPU experience for accelerated computing (key experience).
Experience tuning neural networks (including LLMs) on custom datasets for specific applications.
Experience building AI/ML models and ensembles, including selecting Python libraries, preparing data, conducting analysis, and evaluating performance.
Proficiency in Python or R.
Solid SQL skills, including common table expressions, set operations, aggregated functions, and nested subqueries.
Experience with GitHub and Jenkins for version control and pipeline workflows.
Experience with Hugging Face Transformers and its model hub.
Experience with cloud-based development and architecture.
Experience with front-end or application frameworks such as Flask.
Ability to build text-focused ML solutions such as classification and 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 to both technical and non-technical audiences.
Experience building or using verification and validation test benches.
Familiarity with Explainable AI (XAI) techniques.
Experience with ONNX (Open Neural Network Exchange).
U.S. Citizenship required.
Top Secret SCI + Polygraph clearance required.
Travel: less than 10%.

Technologies

Keras, PyTorch, Tensorflow
Python, R, SQL
GitHub, Jenkins
Hugging Face Transformers
Flask
SciKit-Learn
Tableau
ONNX (Open Neural Network Exchange)
GPUs, Large Language Models (LLM), Natural Language Processing (NLP), XAI

Location: McLean, Virginia (On Customer Site, Onsite Workplace)

Requisition: RQ229011

Requisition type: Regular

Travel required: Less than 10%

Clearance level: Top Secret SCI + Polygraph

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