Staff Engineer, Ai/ Ml: Robotics & Digital Surgery - Ottava
Johnson & Johnson
Santa Clara, California, United States of America
$118,000.00 to $179,035.50; not specified; medical...
Onsite
Mlops and governance practices
Production-grade pipelines and inference
Python and ml libraries
The Staff Engineer in Analytics and AI/ML for Digital Manufacturing is dedicated to advancing data-driven manufacturing within our supply chain operations
Job Summary
The Staff Engineer in Analytics and AI/ML for Digital Manufacturing is dedicated to advancing data-driven manufacturing within our supply chain operations.
This role involves leading the design, development, and implementation of analytics and artificial intelligence/machine learning solutions that provide both diagnostic and predictive insights to support real-time performance management and informed decision-making in intelligent, compliant operations.
Our Surgery team will give you the chance to deliver surgical technologies and solutions to surgeons and healthcare professionals around the world.
Matching Summary
The Staff Engineer in Analytics and AI/ML for Digital Manufacturing is dedicated to advancing data-driven manufacturing within our supply chain operations.
Salary
$118,000.00 to $179,035.50; Not specified; Medical, dental, vision, life insurance, disability, retirement plan, savings plan, long-term incentive program, vacation, sick time, holiday pay, work/personal/family time, parental leave, condolence leave, caregiver leave, volunteer leave, military spouse time-off
Skills & Requirements
Must-have
MLOps and governance practices
production-grade pipelines and inference
Python and ML libraries
SQL and data modeling
time-series and process analytics
model governance and compliance
Nice-to-have
digital manufacturing architectures
visualization and decision-support tools
collaboration with data engineering teams
Key Requirements
7+ years of experience
Bachelor's or Master's degree
ML/AI solutions into production at scale
manufacturing or industrial/OT environments
manufacturing and industrial data sources
model validation and compliance in regulated environments