Johnson & Johnson MedTech · 4 hours ago
Principal ML Ops Engineer
Jacksonville, FL
Full-time
Onsite
Senior Level, Lead/Staff
$117K/yr - $201K/yr
4+ years expJohnson & Johnson MedTech is committed to healthcare innovation and seeks a Principal ML Ops Engineer to enhance their machine learning operations and AI platform ecosystem. This leadership role involves defining MLOps strategies, managing model governance, and collaborating with cross-functional teams to ensure a robust ML infrastructure.
Hospital & Health Care
Responsibilities
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 Vision’s 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
Qualification
Required
Master's Degree / PhD + 4 years' experience, OR Bachelor's 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
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
Benefits
Employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k))
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period10 days
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year
Company
Johnson & Johnson MedTech
At Johnson & Johnson MedTech, we are working to solve the world’s most pressing healthcare challenges through innovations at the intersection of biology and technology.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Mike Walker
CFO & VP of Finance DePuy Synthes
Tino Schweighoefer, MBA
CFO Monarch Platform
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