Senior Machine Learning Platform Engineer
Tasks
- Build AI observability monitoring frameworks
- Collaborate with data science and backend teams
- Design scalable training and serving systems
- Develop MLOps frameworks
- Enhance model development and deployment frameworks
- Implement responsible AI platform features
- Lead build vs buy technology decisions
- Mentor ML and backend engineers
- Optimize reliability, scalability, and cost
- Own ML platform technical design
- Participate in on-call and incident management
Perks/Benefits
- 401k matching
- Date stipend
- Employee resource groups
- Fertility support
- Learning and development stipend
- Paid parental leave
- Udemy access
Skills/Tech-stack
AWS | Azure | Data Preprocessing | Data Storage | Data cleaning | GCP | GenAI | Go | Java | Kubernetes | MLOps | Machine Learning | Observability | Python | Responsible AI | System design
Education
Regions
Countries
States
Cities
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