Description

You will lead the design, development, and implementation of MLOps frameworks and best practices across the organization.

This role is hybrid.

Responsibilities

• Lead the design and implementation of MLOps frameworks and organizational processes.
• Develop and maintain CI/CD pipelines specifically for machine learning models.
• Integrate Snowflake and Azure services into existing ML workflows.
• Monitor and optimize machine learning model performance in production environments.
• Mentor junior team members and collaborate with data scientists and engineers to streamline workflows.

Required Skills

• 8+ years of professional experience.
• Mandatory proficiency and working experience in Azure.
• Strong experience with Snowflake and Azure services, including Azure Machine Learning and Azure Data Factory.
• Hands-on implementation experience in MLOps and CI/CD pipelines.
• Proficiency in Python and SQL.
• Experience with MLOps tools and frameworks such as MLflow, Kubeflow, or Airflow.
• Solid understanding of version control systems like Git.
• Experience with containerization and orchestration tools including Docker and Kubernetes.

Preferred Skills

• Experience with other cloud platforms such as AWS or GCP.

Key Skills

Education

Any Graduate