Job description
MLOPs Expert
KEY EXPECTED ACHIEVEMENTS
- Business understanding Solution implementation
- The business need is understood and formalized in a descriptive datasheet or specifications
- The methods are identified through external researches and selected by their theoretical bases, advantages and drawbacks.
- Roles Responsibilities:
- - Responsible for design and implementation of Application MLOPs frameworks.
- - Responsible for Deploying the ML Model end to end
- - Expert on Azure DevOps Pipelines
- - Responsible for Model and Data Drift frameworks.
- - Build and maintain CI/CD/CT pipeline across azure cloud platform for Data science projects.
- - Experience in MLFlow.
- - Envision, implement and rollout best MLOPs/DevOps tools and automation.
- - Nice to have LLMOPS knowledge
