ML Solution Architect
Tasks
- Build and maintain strong client relationships
- Define data lifecycle processes
- Design data and ML architecture solutions
- Design proofs of concept for emerging technologies
- Drive backend and ML service best practices
- Ensure solutions adhere to security and compliance standards
- Lead customer engagements and provide technical vision
- Lead technical workshops and training
- Oversee data governance and quality processes
- Stay updated with technology trends and improve architecture strategy
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CDK | Backend programming | Big Data | Cloud Platforms | CloudFormation | Data Engineering | Data Lakes | Data Pipelines | Data Warehouses | Data mesh | Docker | Generative AI | Graph Databases | Java | Kubernetes | MLOps Tools | MLflow | Machine Learning | Microservice Architecture | PyTorch | Python | Real Time | Real-time analytics | SageMaker | Terraform | TypeScript
Education
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