Machine Learning Engineer

Heven AeroTech

Sterling, Virginia, US
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Computer vision for autonomous navigation
Llms for mission planning
Agentic ai for enterprise optimization
** Heven AeroTech is seeking a Machine Learning Engineer to develop and maintain AI/ML systems for autonomous aerospace operations, specifically focusing on computer vision and LLMs. The ideal candidate should have extensive experience in building production ML systems, particularly on Google Cloud, and possess a strong background in computer vision and MLOps. **

Job Summary

  • The Machine Learning Engineer will architect and deploy production AI/ML systems that power autonomous aerospace operations from edge to cloud.
  • This role involves building and maintaining the complete ML lifecycle—spanning from data pipelines to deployed models—with a focus on computer vision for autonomous navigation, LLMs for mission planning, and agentic AI for enterprise optimization.
  • Heven AeroTech offers a competitive benefits package designed to support the health, financial security, and overall well-being of our employees and their families.

Matching Summary

Match Score: 75

** Heven AeroTech is seeking a Machine Learning Engineer to develop and maintain AI/ML systems for autonomous aerospace operations, specifically focusing on computer vision and LLMs. The ideal candidate should have extensive experience in building production ML systems, particularly on Google Cloud, and possess a strong background in computer vision and MLOps. **

Skills & Requirements

Must-have

  • computer vision for autonomous navigation
  • LLMs for mission planning
  • agentic AI for enterprise optimization
  • ML lifecycle management
  • Google Cloud Platform
  • Python
  • TensorFlow or PyTorch
  • edge device optimization

Nice-to-have

  • professional growth and development
  • collaborative and innovative culture
  • voice and ideas are heard
  • tangible impact on next-gen UAS

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • 5+ years building production ML systems
  • 3+ years with Google Cloud Platform
  • Google Professional Machine Learning Engineer Certification
  • Expert Python
  • production experience with TensorFlow or PyTorch
  • Computer vision systems experience
  • Edge deployment experience
  • MLOps experience
  • LLMs and RAG systems deployment experience
  • U.S. Person status
  • ability to obtain DoD Secret clearance

Work Rights

U.S. Person status; ability to obtain DoD Secret clearance

Tailored Resume

Cover Letter