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