Description

Lead the design and implementation of scalable data pipelines and machine learning model lifecycles using Azure Databricks.

This role is on-site.

Responsibilities

• Design and implement scalable data pipelines for high-quality data solutions.
• Manage the full machine learning model lifecycle through MLOps implementation.
• Architect data solutions within the Azure ecosystem.
• Collaborate with cross-functional teams to deliver data engineering and ML deployments.

Required Skills

• 10+ years of experience in Data Engineering, MLOps, and Cloud Platforms.
• 3+ years of hands-on experience with Azure Databricks.
• Expertise in PySpark, Scala, or Python for data processing and transformation.
• Proven experience with MLOps frameworks such as MLflow or Kubeflow.
• Proficiency in Azure Data Lake, Azure Data Factory, and Azure Synapse Analytics.
• Strong background in data engineering and cloud architecture.

Key Skills

Education

Any Gradute