Architect, design, and lead implementation of scalable AI/ML infrastructure.
Build and maintain CI/CD pipelines for AI models, managing from data ingestion to model serving.
Act as subject matter expert and mentor for junior engineers.

Qualifications:

5+ years in DevOps, ML Infrastructure, or Platform Engineering, with expert-level cloud provider knowledge.
5+ years hands-on with ML orchestration tools like Kubeflow, MLflow, or SageMaker.
5-8+ years deep expertise in Docker and Kubernetes for AI/ML workloads.

About Revvity:

We are a developer of end-to-end solutions for health challenges, with a team of 11,000+ colleagues worldwide.
Our Signals platform accelerates innovation in life science R&D and clinical research.
This role is remote within Canada, working EST hours.

Revvity

Revvity provides end-to-end solutions for scientists and clinicians to tackle health challenges. With over 11,000 global colleagues, we combine disruptor energy with established leadership to push boundaries in human health.

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