Description

You will develop and deploy machine learning models to drive automation and predictive insights within an Azure-based ecosystem.

Responsibilities

• Analyze, design, and deploy machine learning models to automate processes and generate insights.
• Enhance existing Azure ML pipelines and develop new models tied to calculated metrics.
• Implement synonym and file mapping intelligence to improve data usability.
• Collaborate with Data Engineers and Data Architects on data wrangling, transformation, and automation.
• Support ML Ops practices including model deployment, monitoring, and lifecycle management.

Required Skills

• 5+ years of professional experience.
• Strong proficiency in Python and SQL.
• Hands-on experience with TensorFlow and Sidekick.
• Experience with Azure Data Lake Gen2, Azure Data Factory, and Azure Synapse.
• Proficiency in T-SQL and SSIS.
• Experience building and maintaining ML pipelines and automation workflows.
• Ability to work independently and within cross-functional teams.

Preferred Skills

• Familiarity with Databricks and Medallion Architecture.
• Experience with ML Ops tools and practices.
• Background in healthcare data or analytics.
• Familiarity with Blue Modis or similar platforms.

Key Skills

Education

Any Gradute