Danaher
Skills: Python, Docker, CI/CD
Bring more to life.
At Danaher(https://himalayas.app/companies/danaher), our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact – innovating at the speed of life.
Our 60,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology.
Are you ready to accelerate your potential and make a real difference? At Danaher(https://himalayas.app/companies/danaher), you can build an incredible career at a leading science and technology company, where we’re committed to hiring and developing from within. You’ll thrive in a culture of belonging where you and your unique viewpoint matter.
Learn about the Danaher(https://himalayas.app/companies/danaher) Business System which makes everything possible.
The Senior MLOps Engineer is responsible for owning significant parts of the machine learning and agentic AI lifecycle that powers Danaher(https://himalayas.app/companies/danaher)’s next generation of AI-driven products and automations. You will take models and AI agents from experimentation to reliable, scalable production. In this high-impact role, you will design and operate the pipelines, serving infrastructure, orchestration, and observability that let data scientists, engineers, and business teams build and run ML models and agentic workflows with speed, reproducibility, and rigor. You will partner with teams across Danaher(https://himalayas.app/companies/danaher)’s operating companies to turn promising AI prototypes into governed, production-grade agentic automations that run efficiently at scale on shared compute.
This position reports to the Senior Director, Data and AI Platform and is part of the Chief Information Officer (CIO) Office located in Washington, DC and will be fully remote.
In this role, you will have the opportunity to:
Own the end-to-end ML and LLM lifecycle and deployment: experiment tracking, model and prompt …truncated… range of possi…
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