What are the responsibilities and job description for the ML Ops Engineer position at Chabez Tech LLC?
Job Details
Role: ML Ops Engineer
Location: San Francisco, CA - Onsite
Duration: Long-term
We are looking for the following skills, primarily in Python, Airflow, and AWS:
REQUIRED
Python (4 years)
REST APIs (2 years)
Airflow (3 years)
- DAG authoring
- Deployment / administration
- Knowledge / support (we have numerous data engineers working on Airflow, who often need advice / support on how Airflow works)
AWS infra / networking (4 years, ideally managed via Terraform or other Infrastructure-as-Code tech)
- e.g. S3, Sagemaker Studio, MWAA, ECS, SecretsManager, general experience
Terraform (1 years)
Desired:
Python (7 years)
Docker (1 years)
Linux admin (1 years)
Github Actions
Azure
