Description

You will manage the end-to-end operationalization of machine learning models within Azure environments.

Responsibilities

• Build and manage ML pipelines from initial creation through to execution.
• Automate processes and drive technology improvements for deployed projects.
• Collaborate with Data Scientists to translate model requirements into operational workflows.
• Track ML model performance using defined operationalization metrics.
• Manage team efforts and project tracking using Agile methodologies and Jira.

Required Skills

• 3-5 years of experience in Machine Learning, Azure, and MLOps.
• Proven experience in MLOps implementation and support.
• Hands-on experience with MS Azure Cloud services and deployment.
• Experience configuring Azure Databricks and Azure DevOps setups.
• Strong background in operations and operationalizing ML models.
• Proficiency in Python.
• Knowledge of coding standards and linting tools like flake8.
• Experience working in Agile environments using Jira.
• Any Graduate degree.

Preferred Skills

• Advanced hands-on Python coding experience.
• Deep knowledge of specific Azure services required for model deployment.

Key Skills

Education

Any Graduate