Hybrid Machine Learning Engineer

Posted last month

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About the role

  • Machine Learning Engineer designing and implementing AI systems for Defense and Intelligence sectors. Enhancing data accessibility and optimizing operational capabilities through ML solutions.

Responsibilities

  • Design, create, and implement complete AI systems
  • Enhance data accessibility and optimize AI/ML systems
  • Collaborate with teams for integrating solutions into various mission environments
  • Deepen skills in software engineering, MLOps, and deployment

Requirements

  • 3+ years of experience as a ML engineer and building production-grade ML solutions
  • 3+ years of experience working within data science or data research
  • 3+ years of experience working in cloud environments, including AWS and Azure
  • 2+ years of experience deploying and integrating production-grade ML models using Docker and Kubernetes
  • Experience with LLMs, Deep Learning (DL), and Reinforcement Learning (RL)
  • Experience connecting Agents to APIs, Cloud platforms, or databases
  • Experience evaluating architectural tradeoffs
  • Bachelor’s degree
  • Secret clearance

Benefits

  • Health, life, disability, financial and retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care
  • Recognition awards program

Job title

Machine Learning Engineer

Job type

Experience level

Mid levelSenior

Salary

$99,000 - $225,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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