Senior Machine Learning Engineer - (Logistics, Optimization)
Tasks
- Build and maintain scalable machine learning models
- Build highly available systems on cloud infrastructure
- Collaborate with data scientists and engineers
- Design model infrastructure for real time vehicle routing
- Develop machine learning tooling for model development monitoring serving and experimentation
- Evaluate new technologies and suggest architectures
Perks/Benefits
- Corporate pension plan
- Digital meal vouchers
- Educational budget
- Employee share purchase plan
- Food vouchers
- Gym membership
- Health checkups
- Hybrid work model
- Language courses
- Life and accident insurance
- Meditation
- Parental support
- Public transportation ticket discount
- Relocation support
- Sabbatical bank
- Udemy business access
Skills/Tech-stack
AWS | Airflow | Argo Workflows | CI/CD | Classification | Docker | Ensemble learning | Experimentation | Feature Engineering | Google Cloud | Helm | Infrastructure as Code | Kubernetes | MLOps | MLflow | Machine Learning | Metaflow | Model Serving | Model Training | Probability | Python | Regression | Statistics | Terraform | “as-code”
Education
N/A
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