23d ago

AI/ML Engineer

United States·McLeanfull-timemid

Machine Learning EngineerData

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Quick Summary

Requirements Summary

Bachelor's degree in Computer Science,Data Science, Applied Mathematics, Engineering,

Technical Tools

Machine Learning EngineerData

Swift is a privately held, mission-driven and employee-focused services and solutions company headquartered in Reston, VA. Our capabilities include Software Development, Engineering & IT, Data Science, Cyber Enablement, Logistics, and Training. Founded in 2019, Swift supports Civilian, Defense, and Intelligence Community customers across the country and around the globe.

We are looking for a AI/ML Engineer in McLean, VA.

Job Description:

Design, develop, test, evaluate, and deploy AI/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural language processing (NLP), and reinforcement learning
Provide AI/ML engineering services to support customer's initiatives, leveraging expertise in AI/ML algorithms, software development, and cloud computing

Requirements:

Bachelor's degree in Computer Science,Data Science, Applied Mathematics, Engineering, or a related technical discipline (or equivalent experience)
5 years of experience with Python or R programming languages for AI/ML development
5 years of experience with Cloud computing services from major providers, including experience with cloud-based AI/ML development and deployment
5 years of experience with AI/ML model development and deployment, including model tuning, experimentation, validation, and benchmarking
US citizenship and an active Top Secret/SCI with Polygraph security clearance required

Desired Experience:

Experience with AI/ML model explainability and interpretability techniques
Familiarity with Sponsor's enterprise services, security controls, and data management practices
Experience with front-end web development frameworks, such as Flask
Experience with Tableau to produce visualizations and dashboards
Experience with verification and validation test benches
Deep learning frameworks, such as PyTorch, TensorFlow, or Keras
Version control systems, such as GitHub