Senior Cloud Architect, ML/AI
Tasks
- Architect and deploy production ML and GenAI workloads
- Build and optimize ML pipelines and data workflows
- Collaborate with sales and product on technical proposals
- Create reusable AI ML patterns and reference architectures
- Design secure reliable cost efficient observable cloud architectures
- Implement model evaluation monitoring and governance
- Lead CI CD for AI ML systems using AWS
- Lead ML and Generative AI architectures on AWS
- Provide technical advisory for AI ML deployments
- Run enablement sessions and mentor peers
Perks/Benefits
- Employee stock option plan
- Flexible working options
- Health insurance
- Home-office allowance
- Parental leave
- Peer recognition program
- Professional development stipend
- Unlimited vacation
Skills/Tech-stack
API Gateway | AWS | AWS CodeBuild | AWS CodePipeline | AWS Fargate | AWS Glue | AWS KMS | AWS Lambda | AWS Step Functions | Amazon API | Amazon API Gateway | Amazon Bedrock | Amazon CloudWatch | Amazon EKS | Amazon Q | Amazon Q Business | Amazon Q Developer | Amazon Redshift | Amazon S3 | Amazon SageMaker | Bias detection | CI/CD | Data Privacy | Distributed Training | IAM | Lake Formation | Language Models | Large Language Models | MLOps | Model Evaluation | Model Monitoring | Prompt engineering | PyTorch | Q Business | Q developer) | Step Functions | TensorFlow
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
Architect | Cloud Architect | Cloud) | Senior Cloud Architect
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