Senior Machine Learning Engineer - Tech Foundations - Global Machine Learning Platform
Tasks
- Build and maintain scalable ML infrastructure services
- Define ML platform architecture
- Define and enforce engineering best practices
- Drive end to end platform projects
- Implement new ML platform technologies
- Implement secure highly available scalable systems
- Manage ML lifecycle from development to monitoring
- Mentor and review engineers
- Write technical documents and RFCs
Perks/Benefits
- Bicycle subsidy
- Corporate discounts
- Corporate pension plan
- Digital meal vouchers
- Educational budget
- Employee share purchase plan
- Food vouchers
- Gym subsidy
- Health checkups
- Hybrid work
- Language courses
- Life and accident insurance
- Meditation
- Parental support
- Public transportation ticket discount
- Sabbatical access
- Sabbatical bank
- Udemy business access
- Yoga
Skills/Tech-stack
AWS | Argo Workflows | CI/CD | Cloud Architecture | DevOps | Docker | Feature Engineering | GitOps | Golang | Google Cloud | Helm | Infrastructure as Code | Jupyter Notebook | Kubernetes | MLOps | MLflow | Machine Learning | Metaflow | Microservices | Model Serving | Model Training | Python | Terraform | Triton | “as-code”
Education
N/A
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