Machine Learning Engineer - PRISM - Supply Chain (f/m/d)
Tasks
- Develop machine learning models for demand forecasting and assortment planning
- Document machine learning best practices and SOPs
- Implement model retraining and updates
- Industrialize machine learning models and deploy to production
- Integrate machine learning capabilities into existing systems
- Monitor model performance and improve accuracy and reliability
- Optimize data pipelines for training and inference
- Provide mentorship to junior team members
- Stay current with machine learning trends and supply chain optimization
- Translate business needs into machine learning solutions
Perks/Benefits
- Employee ownership
- Equipment choice
- Flexible work location and schedule
- Internal and external training
- Monthly bonuses and quarterly bonuses
- Telework 2 days per week
Skills/Tech-stack
AWS | Airflow | Azure | Backtesting | CI/CD | Cloud platform | Databricks | Docker | GRPC | GitHub Actions | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Log Analysis | ML model monitoring | MLOps | MLflow | Model Monitoring | Pandas | Protobuf | PySpark | PyTorch | Python | SageMaker | Scikit-learn | Spark | TensorFlow | “as-code”
Education
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