ML Solution Architect
Tasks
- Conduct technical workshops, training, and presentations
- Define data lifecycle processes ingestion storage processing visualization
- Design and execute proofs of concept for generative AI and machine learning
- Ensure security compliance and architecture framework adherence
- Implement backend and ML services best practices
- Lead cross-functional teams and provide mentorship
- Lead customer engagements for solution delivery
- Lead data and ML architecture design and implementation
- Optimize customer KPIs and drive innovation
- Oversee data governance and data quality processes
- Provide technical advisory to customer stakeholders
- Stay updated on technology trends and improve architecture strategy
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CDK | AWS Neptune | AWS Well Architected | Agile | Amazon SageMaker | Architecture Framework | Artificial Intelligence | Big Data | Cloud Architecture | CloudFormation | Data Contracts | Data Engineering | Data Governance | Data Lakes | Data Pipelines | Data Quality | Data Warehouses | Data mesh | Docker | GCP Architecture Framework | GCP architecture | Graph Databases | Java | JavaScript | Kubernetes | MLOps | MLflow | Machine Learning | Microservices | Neo4j | PyTorch | Python | Real Time | Real-time analytics | Terraform | TypeScript | Well Architected
Education
N/A
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