Principal ML Ops Engineer

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at

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.

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We are currently recruiting for Principal ML Ops Engineer based in Jacksonville FL Raritan NJ Spring House PA or any other J&J East Coast and Central US locations.

Come be part of a dynamic and global team!

About Vision

Fueled by innovation at the intersection of biology and technology were developing the next generation of smarter less invasive more personalized treatments.

Are you passionate about improving and expanding on the possibilities of vision treatments Ready to join a team thats reimagining how vision is improved Our Vision team solves the toughest health challenges. Help combine cutting-edge insights science technology and people to encourage eye care professionals and patients to proactively protect correct and enhance healthy sight for life. Our products and services address these needs from the pediatric to aging eye in a patients lifetime.

Your unique talents will help patients on their journey to wellness. Learn more at the Role

We are seeking an experienced ML Ops Engineer to oversee and enhance our machine learning operations and AI platform ecosystem. This key leadership role will drive best practices for ML lifecycle management govern the use of LLM APIs for GenAI solutions and manage the growth and adoption of our enterprise AI & analytics platform for Vision Dataiku supporting over 70 (and growing) active practitioners.

The ideal candidate will have both deep technical expertise in MLOps and AI systems architecture and strong leadership skills to guide a cross-functional AI & analytics community.

The Principal ML Ops Engineer will:

• Define and implement MLOps strategies workflows and tooling to streamline model development deployment monitoring and retraining.

• Build robust CI/CD pipelines for machine learning projects.

• Establish model governance and compliance standards including documentation monitoring and auditability.

• Collaborate with data scientists engineers and IT to ensure scalable secure and resilient ML infrastructure.

• Oversee the integration optimization and cost management of enterprise-approved LLM APIs

• Serve as the platform leader and administrator for Visions Dataiku instance scaling adoption and ensuring optimal performance.

• Develop and maintain governance frameworks role-based access controls and project management conventions for platform users.

• Organize training programs office hours and enablement sessions for new and advanced users.

• Partner with the Dataiku vendor and internal stakeholders to align platform roadmaps with organizational priorities.

• Perform other related tasks as assigned by management

Required Qualifications

• Masters Degree / PhD 4 years experience OR Bachelors Degree 6 years experience.

• Educational degree in quantitative field such as Statistics Mathematics Computer Science Data Science Engineering Economics and/or related quantitative

• Proven track record deploying and managing machine learning models at scale preferably in production enterprise environments.

• Proficiency in Python and familiarity with ML frameworks

• Strong understanding of cloud platforms (Azure AWS or GCP) and containerization (Docker Kubernetes).

• Hands-on experience with end-to-end model registry and lifecycle tools (e.g. MLflow or Kubernetes).

• Ability to implement monitoring for both system metrics (CPU/GPU) and model metrics (Drift detection F1 score Bias monitoring).

• Advanced knowledge of building automated pipeline (GitHub Actions Jenkins) specifically for ML workflows.

• Hands-on experience administering Dataiku or similar AI/analytics platforms such as Databricks SageMaker or Vertex AI.

• Experience interpreting and communicating analytic results to analytical and non-analytical business partners

• Ability to travel both domestically and internationally may be required (5-10%).

• Ability to flex hours to accommodate multiple time zones when necessary.

Preferred Qualifications

• Experience with LLM APIs Retrieval-Augmented Generation (RAG) pipelines and GenAI solution deployment.

• Familiarity with AI ethics responsible AI frameworks and compliance standards.

• Experience working in large matrixed organization with Global footprint

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The anticipated base pay range for this position is :

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