ML Ops Architect
Dallas, Texas, United States - Remote
R
USD 140K-178K (estimate) Senior-level Full Time
Tasks
- Build CI CD pipelines for ML deployments
- Containerize and orchestrate model deployments
- Deploy machine learning and data pipelines in production
- Develop MLOps documentation and standard operating procedures
- Govern ML models and enable responsible and explainable AI
- Implement scalable model inference systems
- Implement security and compliance best practices
- Manage cloud compute for ML infrastructure
- Monitor and log model performance and system health
- Troubleshoot production ML deployment issues
Perks/Benefits
Skills/Tech-stack
API | AWS | Ansible | Apache Airflow | Apache Spark | Azure Data | Azure Data Factory | Azure Databricks | Azure Kubernetes | Azure Kubernetes Service | Azure Machine Learning | Azure Monitor | CI/CD | Cloud platform | Compliance | Data Factory | Data Pipelines | Data Privacy | Distributed Computing | Docker | Feature Engineering | GitHub | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Kubernetes Service | Logging | MLOps | MLflow | Machine Learning | Monitoring | Power BI | Python | REST | Security | Streamlit | Tableau | Terraform | Test automation | Unix Shell | “as-code”
Education
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