AI Commercial & ML Ops Engineer
Home Office - US, TX, United States
USD 130K-173K Mid-level Full Time
Tasks
- Automate machine learning lifecycle
- Build machine learning deployment pipelines
- Create orchestration workflows
- Design automated retraining strategies
- Design machine learning pipelines
- Establish AI governance frameworks
- Implement CI CD for machine learning
- Implement access controls secrets management security
- Implement bias monitoring
- Implement data quality checks
- Implement drift detection
- Manage model versioning and promotion
- Optimize machine learning performance scalability cost
- Run automated testing for models
- Set up monitoring and observability
Perks/Benefits
- 401k plan
- Employee discounts
- Free employee meals
- Free parking
- Healthcare
- Networking events
- Professional development programs
- Time off
- Volunteer opportunities
- Wellness programs
Skills/Tech-stack
AWS | Airflow | Azure | Batch Processing | CI/CD | DVC | Databricks | Docker | GCP | Git | Kubeflow | Kubernetes | MLflow | PySpark | PyTorch | Python | Scikit-learn | Streaming | TensorFlow
Education
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