MLOPs Expert

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