AI/ML Engineer
Listed on 2026-07-24
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IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description
The AI/ML Engineer will design, build, and maintain AI/ML lifecycle core services and products. Create utilities and ensure seamless function of orchestration capabilities to support the AI/ML environment. Develop and implement infrastructure for training, validating, and deploying machine learning models, create reusable components and libraries to accelerate AI/ML development, and build model serving platforms for efficient inference. Implement automated machine learning pipelines, design systems for model monitoring and performance tracking, and develop tools for model explainability and interpretability.
Optimize AI/ML algorithms for performance and scalability, implement MLOps practices for continuous integration and deployment of models, and collaborate with data engineers to ensure data pipelines support AI/ML requirements. Stay current with advances in AI/ML technologies, document AI/ML systems and processes, and provide technical guidance to data scientists implementing models. Troubleshoot complex issues in AI/ML systems, implement version control for models and datasets, and develop testing frameworks for AI/ML components.
Have
- 4 years of experience developing, deploying, and supporting AI/ML models in enterprise environments
- Bachelor’s degree (or an additional 4 years of experience) in IT, Cybersecurity, Computer Science, Information Systems, Data Science, Software Engineering, or related field
- Meet the DoD 8140 requirements
- Active Secret, Top Secret, TS/SCI, or TS/SCI with Polygraph clearance required, depending on position
The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is: $91,300—$184,900 USD
Equal Employment Opportunity StatementWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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