Manager Machine Learning Platform - Bees Data
Tasks
- Build internal tools frameworks SDKs templates and automation
- Define track platform success metrics and adoption
- Drive end to end delivery of reusable ML platform capabilities
- Drive operational excellence using SLOs SLAs incident management and monitoring
- Ensure production readiness reliability observability security compliance and cost efficiency
- Establish engineering standards and paved paths for production ML systems
- Lead machine learning platform team
- Own ML platform execution across MLOps model development model serving infrastructure and governance
- Partner with engineering data product security infrastructure and business teams
- Translate ML strategy into platform roadmap
Perks/Benefits
- Casual office and dress code
- Childcare subsidies
- Clube Ben partnership
- Days off
- Discounts on Ambev products
- Health, dental, and life insurance
- Language and training platforms
- Meal allowance
- Medicines discounts
- Private pension plan
- Scholarship
- School materials assurance
- Transport allowance
- WellHub partnership
Skills/Tech-stack
Alerting | Azure | Azure DevOps | BentoML | CI/CD | Capacity Planning | Databricks | Distributed Systems | Feature Store | Incident Response | Inference Server | KServe | Kedro | Kubernetes | Logging | MLOps | MLflow | Model Registry | Monitoring | ONNX | PySpark | PyTorch | Python | Ray | SLA | SLO | SQL | Scikit-learn | Seldon | Spark | TensorFlow | Terraform | Triton Inference | Triton Inference Server
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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