Cloud Development Engineer (AI/ML)
Tasks
- Architect secure reliable AWS GCP solutions
- Build AI/ML pipelines
- Build backend services
- Containerize applications
- Deploy ML models
- Design cloud-native platforms
- Develop APIs and microservices
- Drive platform standards
- Implement CI/CD
- Implement real time batch inference pipelines
- Process data with Databricks
Perks/Benefits
- Bonus program
- Flexible work hours
- Hybrid work
- Medical, dental & vision coverage
- Paid parental leave
- Paid time off
- Pension and retirement plans
- Support for community involvement
Skills/Tech-stack
.NET | APIs | AWS | CI/CD | Databricks | Distributed Systems | Docker | GCP | Java | Machine Learning | Microservices | Model Deployment | MongoDB | Python | SQL
Education
N/A
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