Senior Infrastructure Engineer, AI/ML Systems
Tasks
- Build and operate deployment pipelines for AI services
- Create reusable infrastructure templates for repeated service variants
- Deploy and operate model serving and batch scoring
- Design system architecture for new AI services
- Implement rollback and environment promotion for AI models
- Monitor performance and manage AI service costs
- Own AI service reliability with monitoring and alerting
Perks/Benefits
- Employee recognition program
- Flexible work culture
- Generous time off
- Hack weeks
- Hybrid work options
- Internal conferences
- Learning and development resources
- Mental health support
- Mentorship
- Remote work options
- Tuition reimbursement
- Wellness programs
Skills/Tech-stack
AWS | AWS CloudWatch | AWS Lambda | AWS Step Functions | AWS VPC | Airflow | Amazon ECS | Amazon EKS | Amazon S3 | Argo Workflows | CI/CD | CloudFormation | Dagster | Docker | Infrastructure as Code | Kubernetes | Step Functions | Terraform | “as-code”
Education
N/A
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