Senior ML Engineer – Workforce Intelligence (m/f/d)
Tasks
- Automate data science technology stack tools
- Build production machine learning models
- Collaborate with workforce management teams
- Deploy and maintain ML models with MLOps
- Design data pipelines and ETL processes
- Develop demand forecasting shift planning and staffing optimization models
- Implement monitoring and logging for ML systems
Perks/Benefits
- 30 days vacation
- Capital-forming benefits
- Employee discounts
- Employee gym
- Employee restaurant
- Flexible hours
- Hybrid work model
- Mobility allowance
- Retirement plan
- Vehicle leasing
- Volunteer day
Skills/Tech-stack
AWS | Data Modeling | Database systems | Demand forecasting | ETL | Logging | MLOps | Machine Learning | Monitoring | Optimization | Python | Shift planning | Staffing optimization
Education
N/A
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