AI Commercial & ML Ops Engineer
Home Office - US, NV, United States
USD 130K-173K Mid-level Full Time
Tasks
- Automate machine learning lifecycle
- Build orchestration workflows
- Design machine learning pipelines
- Detect data drift
- Evaluate ai vendor tools
- Implement AI guardrails
- Implement CI CD for machine learning
- Implement automated retraining
- Manage access controls and secrets
- Monitor model performance
- Operate machine learning inference
- Optimize cloud compute performance
- Provide MLOps mentoring
- Secure machine learning platforms
Perks/Benefits
- 401k plans
- Community volunteer opportunities
- Development programs
- Employee discounts
- Free meals
- Free parking
- Health and wellness programs
- Life insurance
- Medical, dental & vision coverage
- Networking events
- Time off plans
Skills/Tech-stack
AWS | Airflow | Artificial Intelligence | Azure | CI/CD | DVC | Databricks | Distributed Computing | Docker | Drift Detection | Feature Engineering | GCP | Git | Kubeflow | Kubernetes | Logging | MLflow | Machine Learning | Model Deployment | Monitoring | Observability | PySpark | PyTorch | Python | Retraining automation | Scikit-learn | TensorFlow
Education
Regions
Countries
States
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