Principal Ml Ops Engineer

Johnson & Johnson

Jacksonville, Florida, United States of America
$117,000.00 - $201,250.00; not specified; not spec...
Mlops strategies and workflows
Ci/cd pipelines for ml
Model governance and compliance
Oversee and enhance machine learning operations and AI platform ecosystem, driving best practices for ML lifecycle management

Job Summary

  • Oversee and enhance machine learning operations and AI platform ecosystem, driving best practices for ML lifecycle management.
  • Govern the use of LLM APIs for GenAI solutions and manage the growth and adoption of the enterprise AI & analytics platform for Vision, Dataiku.
  • Collaborate with data scientists, engineers, and IT to ensure scalable, secure, and resilient ML infrastructure and provide training programs for platform users.

Matching Summary

Oversee and enhance machine learning operations and AI platform ecosystem, driving best practices for ML lifecycle management.

Salary

$117,000.00 - $201,250.00; Not specified; Not specified

Skills & Requirements

Must-have

  • MLOps strategies and workflows
  • CI/CD pipelines for ML
  • model governance and compliance
  • scalable ML infrastructure
  • LLM API integration and optimization
  • Dataiku platform administration
  • Python and ML frameworks

Nice-to-have

  • AI ethics and responsible AI
  • large matrixed organization experience
  • global footprint collaboration

Key Requirements

  • Master’s Degree / PhD + 4 years’ experience OR Bachelor’s Degree + 6 years’ experience
  • Proven track record deploying ML models at scale
  • Proficiency in Python
  • Strong understanding of cloud platforms (Azure, AWS, GCP)
  • Hands-on experience with ML lifecycle tools
  • Experience administering Dataiku or similar platforms

Work Rights

Not specified

Tailored Resume

Cover Letter