Senior AI/ML Engineer - Remote, Federal Data & AI

General Dynamics Information Technology, Inc.; United States; On-site; USD 195,000 - 264,000; Full time

Benefits offered by this job

Remote work

Competitive benefits

Paid time off

Job summary

General Dynamics Information Technology, Inc. is seeking an AI/ML Engineer SME to lead AI/ML initiatives within the Case Management Modernization program, delivering advanced analytics, AI/ML capabilities, and governance.

You will provide technical leadership, design and deploy ML models, and collaborate with analysts and engineers to enable data-driven decision support, all within federal compliance frameworks.

Qualifications

• Bachelor's degree or equivalent; 10+ years of related experience; advanced degrees preferred.
• Expertise in machine learning, NLP, and AI engineering across data platforms.
• Strong Python/SQL skills; experience with major ML frameworks and cloud AI services.

Responsibilities

• Define and execute AI/ML strategy aligned to CMM modernization objectives.
• Design, develop, deploy, and maintain ML, predictive, forecasting, Generative AI, and advanced analytics solutions.
• Build and tune models using appropriate algorithms, architectures, and data pipelines.
• Develop LLM-powered applications, RAG pipelines, AI agents, and intelligent automation capabilities.
• Apply statistical and advanced analytics methods to support data-driven decision-making.
• Evaluate foundation models, commercial/open-source models, and emerging AI technologies.

Skills

Actionable Insights

Data Analysis

Data Analytics

Education

BA/BS or equivalent

MA/MS strongly preferred

Tools

Python

SQL

TensorFlow

PyTorch

scikit-learn

XGBoost

AWS SageMaker

Azure ML

GCP Vertex AI

Job description

General Dynamics Information Technology, Inc. is seeking an AI/ML Engineer SME to lead AI/ML initiatives within the Case Management Modernization program, delivering advanced analytics, AI/ML capabilities, and governance.

You will provide technical leadership, design and deploy ML models, and collaborate with analysts and engineers to enable data-driven decision support, all within federal compliance frameworks.