Senior Machine Learning Platform Engineer
Tasks
- Architect responsible AI platform with privacy compliance
- Build AI observability platform
- Design scalable reliable operational systems
- Develop AI ML model development and deployment frameworks
- Implement MLOps best practices
- Lead build vs buy technology decisions
- Mentor ML engineers and backend engineers
- Monitor and debug model performance
- Own technical designs for AI feature platforms
- Participate in on-call and incident management
Perks/Benefits
- 401k matching
- Employee resource groups
- Fertility support
- Free premium membership
- Learning & development stipend
- Monthly date stipend
- Paid parental leave
- Udemy access
Skills/Tech-stack
AWS | Azure | Cloud Computing | Data Preprocessing | Data Storage | Data cleaning | GCP | Go | Java | Kubernetes | MLOps | Machine Learning | Python | System design
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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