Job Description

Job Title: Databricks Machinel Learning SME - Hybrid

Location: New York, NY

Duration: 6-9 Months

Work Mode: Hybrid

Key Responsibilities:

• Design, develop, and deploy machine learning models using Azure Databricks.
• Implement and manage Azure Databricks ML Flow for tracking and managing ML experiments.
• Apply ML Ops best practices to ensure robust and scalable model deployment.
• Deploy and manage Large Language Models (LLMs) and Generative AI (GenAI) models on Databricks.
• Collaborate with data scientists and engineers to integrate ML models into production environments.
• Optimize and maintain existing ML models to ensure high performance and scalability.
• Utilize PySpark, Python, and SQL for data processing and analysis.
• Conduct statistical analysis to support data-driven decision-making.
• Troubleshoot and resolve issues related to ML model deployment and performance.
• Stay up-to-date with the latest advancements in machine learning and cloud technologies.

Qualifications:

• 7+ years of experience in ML model deployment using Azure Databricks.
• Proficiency in PySpark, Python, and SQL.
• Experience with Azure Databricks ML Flow and ML Ops best practices.
• Experience with deploying and managing LLMs and GenAI models on Databricks.
• Experience with statistical analysis is a plus.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.
• Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred).

Must Have

• 3+ years of experience with creating stored procedures in SQL
• Azure Databricks
• azure databricks machine learning certificate
• Bayesian Machine Learning
• Machine Learning Operations
• pandas
• PySpark
• Quantitative Statistical Analysis

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