MLOps Engineer
Tasks
- Build and maintain machine learning pipelines
- Champion engineering best practices
- Collaborate with data scientists and engineers
- Drive platform reliability and cost efficiency
- Govern large language model usage
- Implement monitoring and observability
- Manage LLM gateway and prompt versioning
- Own model deployment and serving infrastructure
- Support experiment tracking and model registry
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | API Versioning | Automated testing | Azure | Azure AI | Azure AI Foundry | Azure Machine Learning | CI/CD | Containerization | Data Drift | Data Drift Detection | Drift Detection | Infrastructure as Code | LLM-Ops | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model Serving | Observability | Traffic Management | Version control | “as-code”
Education
N/A
Roles
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