ML Engineer, Cloud Platform
Tasks
- Architect backend systems for model serving
- Build data ingestion and preparation pipelines
- Design, deploy, and manage cloud infrastructure
- Develop backend services and production APIs
- Drive testing CI CD documentation and security
- Implement GDPR compliant security and access control
- Implement monitoring, observability, and reliability
- Manage machine learning lifecycle and retraining
- Set up usage tracking and quota management
Perks/Benefits
- Annual company offsites
- Fitness benefits
- Healthcare
- Paid vacation
- Public holidays
- Relocation support
- Transportation support
Skills/Tech-stack
APIs | BigQuery | CI/CD | Data Modeling | Data Warehousing | Data pipeline | Databricks | Docker | FastAPI | Feature Store | GDPR | Infrastructure as Code | Kubernetes | MLOps | Machine Learning | Model Deployment | Model Monitoring | Python | Security | Snowflake | Terraform | “as-code”
Education
N/A
Roles
Cloud Engineer | Cloud) | DevOps | DevOps Engineer | Engineer | ML Engineer
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