Data Product Manager | Machine Learning Platform
Tasks
- Advance deployment observability and monitoring
- Define ML platform strategy and roadmap
- Define feature governance
- Deliver templates CLIs and standardized workflows
- Drive adoption and platform delivery
- Ensure training serving parity
- Establish model release and promotion standards
- Identify workflow bottlenecks and platform gaps
- Improve ML model move to production process
- Set standards and contracts for shared tooling
- Standardize MLOps practices and operational visibility
- Support batch and real time deployment
Perks/Benefits
- Childcare subsidies
- Dental insurance
- Discounts on company products
- Health insurance
- Language and training platforms
- Life insurance
- Meal allowance
- Medicines discounts
- Private pension plan
- Transport allowance
Skills/Tech-stack
Azure | CI/CD | Confluence | Data Drift | Data Drift Detection | Databricks | Drift Detection | Experimentation | Jira | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Model Training | Python | SQL
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
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