Senior ML Platform Engineer
Tasks
- Apply cloud security governance best practices
- Build and scale ML AI platforms in cloud environments
- Deploy ML AI models to production
- Design and maintain MLOps pipelines
- Ensure system reliability and observability
- Implement blue-green deployments and canary releases
- Implement infrastructure as code for ML platforms
- Manage containerized workloads in production
- Set up CI CD pipelines for model deployments
Perks/Benefits
- Career coaching
- Career progression
- Health insurance
- Hybrid work
- Meal card
- On-site work
- Remote work
- Special discounts
- Welcome kit
Skills/Tech-stack
AWS | AWS CDK | AWS Lambda | Amazon EC2 | Amazon ECS | Amazon EKS | Amazon S3 | Amazon SageMaker | Amazon VPC | CloudFormation | Docker | GitHub Actions | GitOps | IAM | Jenkins | Kubernetes | MLflow | Sagemaker Pipelines | Terraform
Education
N/A
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