Source description
About the role
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
More at Michelin