Data/ ML Solution Architect
Tasks
- Align solutions with customer business goals
- Apply backend ML services best practices
- Conduct technical workshops and training
- Define data lifecycle processes
- Design data and AI/ML architectures
- Design proofs of concept for generative AI
- Drive innovation and optimize customer KPIs
- Ensure security compliance and architecture frameworks
- Implement scalable cloud and on premise data platforms
- Ingest store process and visualize data
- Lead customer solutions strategy
- Mentor architects and technical leaders
- Oversee data governance and data quality
- Plan data and AI ML architecture implementations
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Amazon SageMaker | Azure | Big Data | Compliance | Data Engineering | Data Governance | Data Lakes | Data Pipelines | Data Quality | Data Warehouses | Docker | GCP | Java | Kubernetes | MLOps | MLflow | Machine Learning | Microservices | PyTorch | Python | Real Time | Real-time analytics | Security | TypeScript
Education
N/A
Roles
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