Description

You will design and optimize Azure-based AI/ML data systems.

Responsibilities

• Lead ML pipelines covering ingestion, processing, training, and deployment.
• Build solutions using Azure, Databricks, Spark, Python, and SQL.
• Develop and enhance MLOps, automation, CI/CD, and monitoring frameworks.
• Create architecture diagrams, standards, and technical documentation.
• Collaborate with cross-functional teams to deploy enterprise AI/ML solutions.

Required Skills

• 7+ years in architecture or cloud engineering.
• 5+ years in data engineering.
• Proven expertise in the Azure cloud ecosystem.
• Experience with Azure, Databricks, Spark, Python, and SQL.
• Proficiency in MLOps and Data Modeling.
• Experience defining Cloud Architecture and Governance standards.
• Bachelor's degree in Computer Science.

Key Skills

Education

Bachelor's degree