Data Scientist
Kuala Lumpur, 14, Malaysia
EUR 44K-54K (estimate) Mid-level Full Time
Tasks
- Build and scale machine learning systems
- Collaborate with data scientists and software engineers
- Contribute to ML engineering strategy and technical roadmaps
- Deploy and maintain ML models
- Develop and refine ML engineering tools and methods
- Implement end-to-end ML workflows
- Maintain ML systems using software engineering best practices
- Mentor team members and share best practices
- Productionize machine learning prototypes
Perks/Benefits
- Employee Assistance Program (EAP)
- Flexible working environment
- Hybrid work
- LinkedIn Learning
- Ongoing training
- Volunteer time off
Skills/Tech-stack
Agile | Argo | BigQuery | Containers | Docker | Forecasting | GitLab CI | Grafana | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | PostgreSQL | Prometheus | Python | SQL | Statistical Methods
Education
Regions
Countries
States
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