Machine Learning Engineer Manager (AI Platform)
Tasks
- Define how and when with stakeholders
- Design and improve ML platform architecture
- Drive scalable parallel processing initiatives
- Ensure ML lifecycle training deployment serving and governance
- Execute engineering initiatives with autonomy
- Identify architecture gaps and innovation opportunities
- Improve data science user experience
- Integrate ML systems with complex services
- Lead ML platform engineering squad
- Manage performance reviews and career development
- Translate business goals into technical roadmaps
Perks/Benefits
- 30 days paid vacation
- Daycare allowance
- Dental plan
- Extended parental leave
- Gym partnerships
- Life insurance
- Meal card
- Medical plan
- Psychological Financial and Legal Assistance
- Public transportation commuting benefit
- Relocation assistance
- Work from home allowance
Skills/Tech-stack
Amazon SageMaker | Data Science | Databricks | Kubeflow | ML Governance | MLOps | Machine Learning | Model Deployment | Model Serving | Parallel processing | System Architecture
Education
N/A
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