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Senior Research Engineer
3 months ago
Senior Research Engineer (MLOps Engineer)
Responsibilities:
- Package models, deploy to production environments, and monitor usage and performance.
- Design, implement, and deploy ways to make complex deep learning models usable by biologists and other domain specialists.
- Manage ML infrastructure, both on premises and in the cloud.
- Rapidly prototype POCs in partnership with ML scientists and other stakeholders.
- Test models at scale and ensure CI/CD best practices are followed by the whole team.
Requirements:
- 3+ years experience in production ML systems, model deployment.
- Proficiency in Kubernetes, cloud technologies (AWS/Azure/GCP) and managing on-prem GPUs.
- Background in distributed systems, containerization, CI/CD.
- Self-motivated problem solver with excellent communication skills.
Location :: Canada, 100% Remote.
Base Salary :: $250,000.
Package :: Equity / Stock Options.
Start Date :: ASAP.
Interview Process :: 3 Stages.
Email to apply.