Senior ML Ops Engineer — Remote, Scalable AI Production

Radiometer; United States; Remote; USD 180,000 - 220,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) retirement plan

Paid time off

Job summary

Danaher is seeking a Senior MLOps Engineer to own the ML/LLM lifecycle from experimentation to scalable production. You will design pipelines, serve models, and orchestrate agentic workflows with secure integrations across teams.

You will implement CI/CD, observability, and governance for ML/LLM deployments, optimize compute and cost, and lead self-service tooling while remaining hands-on with architecture and delivery.

Qualifications

• 4+ years in software, ML, or infra engineering with production ML/AI experience.
• Experience with ML lifecycle tooling: tracking, evaluation, observability, and versioning.
• Proficient in Python; strong container/orchestration skills.

Responsibilities

• Own end-to-end ML/LLM lifecycle from experiment to production.
• Productionize agentic workflows with orchestration and secure integrations.
• Implement CI/CD, monitoring, and governance for ML/LLM deployments.

Skills

MLOps/LLMOps

Python

Docker & Kubernetes

Azure Cloud

CI/CD for ML

Observability

Education

Bachelor's degree in CS or related field

Tools

MLflow

Weights & Biases

Langfuse

Azure ML

Airflow

Job description

Danaher is seeking a Senior MLOps Engineer to own the ML/LLM lifecycle from experimentation to scalable production. You will design pipelines, serve models, and orchestrate agentic workflows with secure integrations across teams.

You will implement CI/CD, observability, and governance for ML/LLM deployments, optimize compute and cost, and lead self-service tooling while remaining hands-on with architecture and delivery.