Description

You will manage the end-to-end machine learning lifecycle, building and maintaining data pipelines and ML workflows on Azure while ensuring robust CI/CD practices.

This role is on-site.

Responsibilities

• Develop and enhance ML algorithms to solve business problems.
• Build and maintain data pipelines using Azure Databricks, PySpark, and ADF.
• Operationalize ML models through deployment, monitoring, and lifecycle management.
• Create and optimize CI/CD pipelines following DevOps best practices.

Required Skills

• 4+ years of experience, including 3+ years in Machine Learning or Data Science.
• Strong hands-on expertise in Python.
• Experience with Azure Databricks, PySpark, and Spark.
• Proficiency with Azure Data Factory (ADF) and Azure DevOps.
• Hands-on experience with Git version control.
• Strong understanding of Data Science concepts and ML model lifecycles.

Preferred Skills

• Experience with Unity Catalog and MLflow.
• Strong written and verbal communication skills.

Key Skills

Education

Bachelor's degree