AI/ML Lead/Surgical Robotics - OTTAVA

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.  We provide an inclusive work environment where each person is considered as an individual.  At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Supply Chain Engineering Job Sub Function: Automation Engineering Job Category: Scientific/Technology All Job Posting Locations: Santa Clara, California, United States of America Job Description: Johnson & Johnson RAD (Robotics and Digital) is seeking for a AI/ML Lead/ Surgical Robotics– OTTAVA, for our Santa Clara, Location. At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at  jnj.com   As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.  About MedTech Surgery   Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.  Are you passionate about improving and expanding the possibilities of surgery? Ready to join a team that’s reimagining how we heal? Our Surgery team will give you the chance to deliver surgical technologies and solutions to surgeons and healthcare professionals around the world. Your contributions will help effectively treat some of the world’s most prevalent conditions such as obesity, cardiovascular disease and cancer. Patients are waiting.  Your unique talents will help patients on their journey to wellness. Learn more at  https://www.jnj.com/medtech   Purpose The 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. The successful candidate will collaborate with stakeholders across Manufacturing Engineering, Operations, Quality, J&J Technology, and R&D to deliver practical solutions that generate measurable business benefits and support the scaling of future operations.  Key Responsibilities   Define technical requirements and architecture for analytics and AI/ML solutions across manufacturing environments (edge, OT, and cloud).  Lead end-to-end delivery of analytics and ML solutions, including data ingestion, feature engineering, model development, validation, deployment, and lifecycle management.  Design, implement, and operate production-grade pipelines and inference (batch and real time), with monitoring and SLAs for latency, availability, and throughput.  Translate manufacturing challenges (yield, downtime, quality, throughput) into measurable use cases with clear KPIs and expected ROI.  Establish MLOps and governance practices (model versioning, experiment tracking, reproducibility, access control, audit trails) aligned to regulated manufacturing expectations (CSV, GxP where applicable).  Partner with Manufacturing Engineering, Operations, Quality, IT, and R&D to prioritize and scale high-value use cases (predictive quality, anomaly detection, predictive maintenance, process optimization) and translate them into scalable analytics; ensure adoption through documentation, playbooks, training, and stakeholder engagement.  Apply statistical methods and experimentation (e.g., DOE, SPC, capability analysis) to quantify drivers, validate improvements, and support continuous improvement.  Qualifications:   Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field.  7+ years of experience delivering analytics and/or ML solutions in production environments (manufacturing, supply chain, healthcare/MedTech, or other regulated industries preferred).  Required:   Proven track record delivering ML/AI solutions into production at scale; experience in manufacturing or industrial/OT environments strongly preferred.  Experience with manufacturing and industrial data sources (e.g., MES, OPC UA, PLC logs, telemetry, sensors) and translating domain requirements into deployable ML solutions.  Strong Python skills; experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) and data processing frameworks (e.g., Spark/PySpark).  Hands-on MLOps experience, including orchestration, CI/CD, model serving, monitoring/observability, automated retraining, and experiment tracking (e.g., MLflow).  Proficiency in SQL and data modeling; familiarity with lakehouse/data lake patterns (e.g., Delta) and cloud data services (AWS or Azure equivalents), includi