Job Requirements
P2C3STSPipeline Automation: Build automated workflows for data ingestion, model training, testing, and deployment.Model Deployment: Package and release models into production using containers like Docker and Kubernetes.Version Control: Track data, code, and model artifacts to ensure complete reproducibility.Monitoring & Maintenance: Track live performance metrics and detect data or concept drift.Cross-Functional Collaboration: Bridge the gap between data scientists, software developers, and IT operations.
Python
Docker, Kubernetes
DVC, MLFlow
AWS, GCP
CI/CD
Jira, Rally
Work Experience
5-7Years
| Location | Phoenix, AZ |
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