Senior ML Ops Engineer – Healthcare AI Platforms

abbott; Santa Clara (CA); On-site; USD 131,000 - 261,000; Full time

Benefits offered by this job

Career development

Health coverage

Retirement plan

Tuition reimbursement

FreeU education benefit

Job summary

Abbott in Santa Clara, CA is seeking a Senior Staff ML Ops Engineer to lead enterprise AI platforms within Medical Devices Digital. You will architect scalable ML infrastructure, drive MLOps practices, ensure regulatory compliance, and mentor teams across data science and software engineering.

You will partner with executives to shape the AI roadmap and deliver production-grade AI solutions at scale. This role requires strong leadership and deep cloud/MLOps expertise in a regulated environment.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
• 8+ years of experience, Master’s with 6+ years, or PhD with 4+ years of related experience.
• Deep experience building ML infrastructure for experiment tracking, model training, data versioning, annotation tools, model serving, monitoring and observability.
• Experience with GenAI and Agentic AI development infrastructure including grounding, RAG, MCP and prompt engineering.
• Experience developing AI products on cloud platforms (AWS/Azure/Google), containerization (Docker/Kubernetes), pipelines (Airflow), IaC (Terraform).
• Proficient in Azure ML SDK, Azure Data Factory, Databricks, Spark, etc.
• Strong data modeling and database knowledge (SQL/NoSQL).
• Experience with Agile (SCRUM/Kanban) and CI/CD pipelines.
• Security-by-design in AI product dev.
• Leadership engagement with senior execs.
• Architecture practices across business, data, security, infra, governance.
• Microservices and distributed systems experience.
• Experience selecting Architectures and tools.
• Certifications in AI/ML and cloud platforms.
• Excellent communication and mentorship skills.

Responsibilities

• Architect scalable ML infrastructure spanning data ingestion to monitoring.
• Bridge between ML scientists and engineers.
• Implement CI/CD for ML models with testing, rollout, rollback, and governance.
• Ensure HIPAA/GDPR compliance and SaMD guidelines.
• Align architecture strategy with business leaders and roadmaps.
• Mentor ML and SW engineers, set coding standards, perform design reviews.

Skills

ML Ops

Leadership

Cloud platforms

CI/CD for ML

Security by design

Communication

Education

Bachelor's degree in CS/Engineering/Math

8+ years experience or 6+ with MS or 4+ with PhD

Tools

Azure ML SDK

Docker

Kubernetes

Airflow

Terraform

Job description

Abbott in Santa Clara, CA is seeking a Senior Staff ML Ops Engineer to lead enterprise AI platforms within Medical Devices Digital. You will architect scalable ML infrastructure, drive MLOps practices, ensure regulatory compliance, and mentor teams across data science and software engineering.

You will partner with executives to shape the AI roadmap and deliver production-grade AI solutions at scale. This role requires strong leadership and deep cloud/MLOps expertise in a regulated environment.