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ML Ops Engineer, Central Tech
CZI aims to tackle society’s challenges through innovative AI/ML technology in healthcare and education. They seek a Mid-Level MLOps Engineer to enhance their GPU and AI infrastructure.
Skills
- Medium to large scale GPU clusters management
- Kubernetes or HPC experience
- DevOps tooling for ML
- AWS, GCP, or Azure experience
- Linux systems optimization
Responsibilities
- Manage operations of large-scale GPU Research cluster
- Build model deployment automation and monitoring systems
- Integrate MLFlow model versioning
- Collaborate on AI/ML infrastructure engineering solutions
- Optimize GPU platform and model training processes
Education
- BS, MS, or PhD in Computer Science or related discipline
Benefits
- Generous 401(k) employer match
- Annual personal benefit allowance
- Paid volunteer time off
- Funding for family-forming benefits
- Relocation support
To read the complete job description, please click on the ‘Apply’ button
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A Future for Everyone. Our mission is to help build a more inclusive, just, and healthy future for everyone.
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FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
INDUSTRY
TEAM SIZE
LOCATION
SALARY RANGE
$190,000/yr - $238,000/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
August 6, 2024
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