Senior Data Scientist / ML Platform Lead | ¥12M–¥18M | AI & Data Platform
Tasks
- Build ML pipelines for training evaluation deployment monitoring
- Build data pipelines for ML and Generative AI
- Build inference infrastructure on Kubernetes
- Coordinate requirements with business stakeholders
- Define data quality standards
- Define model quality risk management and evaluation
- Design MLOps infrastructure
- Design skill ontology architecture
- Develop Skill Data Cloud architecture
- Develop model APIs and containerized ML services
- Establish CI CD for model deployment
- Implement MLflow and model registry and feature store
- Implement model monitoring and A B testing
- Integrate internal/external data sources
- Lead ML and Generative AI model development
- Lead data science projects to production implementation
- Maintain skill taxonomies
- Provide technical leadership for data scientists
- Translate POCs to production solutions
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | CI/CD | Containerization | Data Governance | Data Pipelines | Data Warehouse | Data platform | Data platform architecture | Feature Engineering | Feature Store | Generative AI | Kubernetes | MLOps | MLflow | Machine Learning | Model Monitoring | Model Registry | Platform Architecture | Python | Risk Management
Education
N/A
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