Staff Engineer Ai & Ml-ottava

Johnson & Johnson

Santa Clara, California, United States of America
Base: $109,000.00 to $153,748.00; bonus/equity: no...
Onsite
Ai/ml solutions in manufacturing
Python programming and ml libraries
Mlops and model lifecycle management
Johnson & Johnson RAD is seeking a Staff Engineer AI & ML to advance data-driven manufacturing within supply chain operations by delivering practical AI/ML solutions that generate measurable business benefits

Job Summary

  • Johnson & Johnson RAD is seeking a Staff Engineer AI & ML to advance data-driven manufacturing within supply chain operations by delivering practical AI/ML solutions that generate measurable business benefits.
  • The role involves collaborating across multiple departments to design and deploy production-grade analytics and machine learning pipelines that support real-time performance management and decision-making.
  • Employees are eligible for comprehensive benefits including medical, dental, vision, retirement plans, long-term incentives, and generous time off policies.

Matching Summary

Johnson & Johnson RAD is seeking a Staff Engineer AI & ML to advance data-driven manufacturing within supply chain operations by delivering practical AI/ML solutions that generate measurable business benefits.

Salary

Base: $109,000.00 to $153,748.00; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, life insurance, disability, retirement plans, long-term incentives, paid time off

Skills & Requirements

Must-have

  • AI/ML solutions in manufacturing
  • Python programming and ML libraries
  • MLOps and model lifecycle management
  • Manufacturing and industrial data sources
  • Cloud data services and architecture
  • Time-series and process analytics

Nice-to-have

  • Experience with Databricks and Spark/Delta
  • Knowledge of digital manufacturing standards
  • Visualization and decision-support tools
  • Strong communication and stakeholder management
  • Collaboration with data engineering teams

Key Requirements

  • Bachelor’s or Master’s degree in quantitative field
  • 7+ years delivering analytics/ML in production
  • Experience in manufacturing or regulated industries
  • Proven track record of ML/AI production deployment
  • Hands-on MLOps including CI/CD and monitoring
  • Familiarity with model governance and compliance
  • Strong SQL and data modeling skills

Work Rights

Not specified

Tailored Resume

Cover Letter