Senior Machine Learning Platform Engineer
Tasks
- Build privacy compliant AI platform
- Collaborate with ML engineers data scientists and data engineers to accelerate AI ML delivery
- Design architect responsible AI platform
- Design implement usability reliability scalability and cost management improvements
- Develop maintain and enhance AI ML model development and deployment frameworks
- Establish and drive MLOps and GenAI engineering best practices
- Lead build vs buy technology decisions
- Mentor ML engineers backend engineers and product managers on ML operations and GenAI tools
- Own technical designs for feature platform training platform and serving platform
- Participate in on-call and incident management
Perks/Benefits
- 401k matching
- Date stipend
- Employee Resource Groups (ERGs)
- Fertility support
- Learning and development stipend
- Paid parental leave
- Udemy access
Skills/Tech-stack
AWS | Azure | Cloud Computing | Data Engineering | Data Preprocessing | Data cleaning | GCP | GenAI | Go | Incident Management | Java | Kubernetes | MLOps | Machine Learning | Online Systems | Python | System design
Education
N/A
Regions
Countries
States
Cities
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