Senior Machine Learning Engineer
Tasks
- Design ML model development framework
- Drive ML strategy roadmap
- Ensure SLA compliant production scaling
- Implement model lifecycle observability
- Optimize deployments for cost and quality
- Own end to end ML pipeline delivery
Perks/Benefits
- Casual office and dress code
- Childcare subsidies
- Days off
- Dental insurance
- Health insurance
- Language and training platforms
- Life insurance
- Meal allowance
- Medicines discounts
- Private pension plan
- Scholarship
- School materials assurance
- Transport allowance
- WellHub partnership
Skills/Tech-stack
Alerting | Azure Cloud | Azure DevOps | BentoML | Databricks | Feature Store | Inference Pipelines | Inference Server | KServe | Kedro | Kubernetes | Logging | Machine Learning | Model Registry | Monitoring | ONNX | PySpark | PyTorch | Python | SQL | Scikit-learn | Seldon | TensorFlow | Terraform | Training pipelines | Triton Inference | Triton Inference Server
Education
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