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 and artificial intelligence deployment pipelines
- Create AI guardrails and prompting frameworks
- Design automated retraining strategies
- Design machine learning and artificial intelligence pipelines
- Develop orchestration workflows
- Establish monitoring and observability
- Evaluate and operationalize AI vendor tools
- Implement CI CD for machine learning systems
- Implement access controls and secrets management
- Implement drift detection and bias monitoring
- Mentor teams on MLOps best practices
- Optimize model performance, scalability, and cost
Perks/Benefits
- 401k plan
- Community volunteer opportunities
- Development programs
- Discounts on hotel stays and dining
- Free employee meals
- Free parking
- Healthcare benefits
- Networking events
- Time off plans
- Wellness programs
Skills/Tech-stack
AWS | Airflow | Artificial Intelligence | Azure | CI/CD | Containerization | DVC | Databricks | Distributed Computing | Docker | Drift Detection | GCP | Git | Kubeflow | Kubernetes | Logging | MLflow | Machine Learning | Monitoring | Observability | PySpark | PyTorch | Python | Retraining automation | Scikit-learn | Secrets management | TensorFlow
Education
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