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Responsibilities:
- Design and maintain CI/CD pipelines for ML model training.
- Manage containerized services on AWS ECS.
- Automate infrastructure provisioning and service configuration with Terraform.
Requirements:
- 2-3 years in ML Ops supporting ML/AI features, systems and workflows.
- Experience with Infrastructure as Code, preferably Terraform.
- Familiarity with cloud platforms — specifically AWS and GCP.
Bonus Points:
- Experience with LLM integration and observability.
- Experience building and maintaining data pipelines for ML training.
- Familiarity with ML modeling workflows
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