AI Platform Architect (AWS / Databricks)
Tasks
- Architect data feature engineering ML training and inference pipelines
- Collaborate with engineering product data science and security teams
- Create technical documentation and support architecture reviews
- Define MLOps architecture with CI CD deployment monitoring versioning governance
- Design AWS cloud native high availability observability and security
- Design scalable secure cost optimized architectures
- Guide Databricks platform components
- Lead enterprise system integrations
- Own HLD and LLD
- Perform cost and risk assessments
Perks/Benefits
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | AWS Step Functions | Amazon CloudWatch | Amazon ECS | Amazon EKS | Amazon EMR | CI/CD | Data Governance | Databricks | Delta Lake | IAM | Infrastructure as Code | MLOps | MLflow | Observability | Python | S3 | SQL | Security | Step Functions | Terraform | Unity Catalog | “as-code”
Education
N/A
Roles
AI | AI Platform Architect | Architect | Cloud Architect | Cloud) | Platform Architect
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