SME AI/ML Engineer

Leidos

SME AI/ML Engineer supporting the delivery of enterprise data and analytics products across multiple DoD organizations. Collaborating with teams to translate operational requirements into scalable solutions.

Posted 6/19/2026full-timeAlexandria • Maryland, Virginia • 🇺🇸 United StatesSeniorLead💰 $131,300 - $237,350 per yearWebsite

Tech Stack

Tools & technologies

DockerJavaKubernetesPythonPyTorchTensorflowTypeScript

About the role

Key responsibilities & impact

Design, develop, and optimize AI and ML solutions to enhance operational and analytical capabilities within a larger enterprise level Data and AI analytics platform.
Build and maintain data pipelines for efficient data processing and model training.
Train and tune algorithms to improve predictive accuracy and decision-support tasks.
Deploy models into production environments, ensuring reliability and performance.
Identify and integrate appropriate COTS, government, and custom tools within established frameworks.
Collaborate with cross-functional teams to ensure alignment with enterprise architecture and security requirements.
Manage project timelines and deliverables, ensuring adherence to quality standards.
Facilitate communication between technical teams and stakeholders to align project goals.

Requirements

What you’ll need

Active Top Secret (TS) clearance with SCI eligibility.
Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related technical discipline and 12+ years of relevant experience OR Master’s degree in a related field and 10+ years of relevant experience.
Minimum of 10 years of experience in AI/ML and/or data intelligence engineering or related fields.
Experience developing and deploying AI/ML models using frameworks such as PyTorch, TensorFlow, or equivalent.
Experience building and integrating data pipelines to support ML workflows.
Experience deploying containerized AI workloads (e.g., Docker, Kubernetes).
Experience integrating AI/ML models into CI/CD and DevSecOps environments.
Experience implementing model evaluation, performance tuning, and lifecycle management practices.
Proven experience in designing and deploying AI/ML models in production environments.
Strong programming skills in languages such as Python, R, or Java.
Strong problem-solving abilities and analytical thinking.

Benefits

Comp & perks

Competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI solutionsML solutionsdata pipelinesmodel trainingalgorithm tuningpredictive accuracymodel deploymentperformance tuningprogramming in Pythonprogramming in R

Soft Skills

problem-solvinganalytical thinkingcommunicationcollaborationproject management

Certifications

Top Secret (TS) clearanceSCI eligibility