Description

Design, develop, and deploy machine learning models using Azure Databricks.

This role is on-site.

Responsibilities

• Design and deploy ML models within the Azure Databricks environment.
• Implement and manage MLflow for tracking and managing ML experiments.
• Apply MLOps best practices to ensure scalable model deployment.
• Deploy and manage Large Language Models (LLMs) and Generative AI (GenAI) models on Databricks.
• Optimize existing models to maintain performance and scalability.

Required Skills

• 7+ years of experience in ML model deployment using Azure Databricks.
• Proficiency in PySpark, Python, and SQL.
• 3+ years of experience creating stored procedures in SQL.
• Experience with Azure Databricks, Bayesian Machine Learning, and MLOps.
• Hands-on experience with Pandas and PySpark.
• Experience deploying and managing LLMs and GenAI models on Databricks.
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

Preferred Skills

• Quantitative statistical analysis skills.
• Azure Databricks Data Engineer Professional or Machine Learning Professional certification.

Key Skills

Education

Bachelor's or Master's degrees