Remote MLOps Machine Learning Principal Engineer in Shelton

Location: Connecticut

Compensation: To Be Discussed

Staff Reviewed: Mon, Nov 30, 2020

This job expires in 27 days

Job Category: Information Technology

Remote Level: 100% Remote

Weekly Hours: Full Time

Employer Type: Employer

Career Level: Experienced

Education Level: Bachelors

Job Summary

An aerospace company is in need of a Remote MLOps Machine Learning Principal Engineer in Shelton.

Must be able to:

  • Build/scale a machine learning and operations system to power AI platforms
  • Work with AI/ML practitioners to solve complex problems and create unique solutions
  • Create documentation and best practices to share with the AI/ML community

Skills and Requirements Include:

  • Bachelor’s Degree in Engineering, Computer Science, or other related discipline
  • Proven technical leadership knowledge and experience in engineering assignments
  • Deep knowledge of common machine learning frameworks –Torch, Tensorflow, Sci-kit, etc
  • Knowledge of modern DevSecOps–Continuous Integration, Continuous Deployment, etc
  • Hands on experience with container-based deployment–Kubernetes, Docker, OCI
  • Fluency in C/C++/Java or scripting languages Python/Bash