Associate MLOps Engineer
Chattanooga, TN, United States
R
USD 97K-150K (estimate) Mid-level Full Time
Tasks
- Automate machine learning pipelines
- Build Python based APIs and dashboards
- Collaborate with data scientists to integrate models into business processes
- Deploy machine learning models to production
- Develop data pipelines for large datasets
- Manage model version control and governance
- Monitor model performance and model drift
- Optimize scalability and performance of ML systems
- Write SQL queries
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud platform | Data Ingestion | Data Pipelines | Data Storage | Data Transformation | Data Validation | Docker | Git | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | MLflow | Model Drift | Model Monitoring | Model versioning | OpenShift | Python | Reproducibility | SQL | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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