Data/ ML Solution Architect (GenAI, AWS)
Tasks
- Apply machine learning and MLOps best practices
- Collaborate cross-functional teams
- Define data ingestion storage processing visualization
- Design proofs of concept for generative AI and machine learning
- Design scalable data and machine learning architectures
- Drive data lifecycle processes
- Ensure security compliance and architecture best practices
- Implement cloud and on premise backend services
- Lead complex customer engagements
- Lead technical workshops and training
- Mentor architects and technical leaders
- Optimize customer KPIs
- Oversee data governance and data quality
- Provide strategic technical vision
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS CDK | Agile | Amazon SageMaker | Azure | Big Data | CloudFormation | Data Governance | Data Lakes | Data Pipelines | Data Quality | Data Warehouses | Docker | GCP | Generative AI | Java | Kubernetes | MLOps | MLflow | Machine Learning | Microservices | PyTorch | Python | Real Time | Real-time analytics | Security Compliance | Terraform | TypeScript
Education
N/A
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