Description

You will design, develop, and deploy machine learning models within Azure Databricks.

Responsibilities

• Deploy and manage Large Language Models (LLMs) and Generative AI (GenAI) models on Databricks.
• Implement and manage Azure Databricks ML Flow using MLOps best practices.
• Collaborate with data scientists and engineers to integrate models into production environments.
• Optimize existing ML models and troubleshoot deployment or performance issues.
• Use PySpark, Python, and SQL for data processing and analysis.

Required Skills

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

Preferred Skills

• Master's degree in a related field.
• Experience with quantitative statistical analysis.
• Azure Databricks Data Engineer Professional or Machine Learning Professional certifications.
• Azure Databricks Machine Learning certificate.

Key Skills

Education

Bachelor's degree