Description

Job Responsibilities:
- Design, develop, and deploy machine learning models using Azure Databricks
- Implement and manage Azure Databricks ML Flow
- Apply ML Ops best practices
- 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
- Use PySpark, Python, and SQL for data processing and analysis
- Conduct statistical analysis
- Troubleshoot and resolve issues related to ML model deployment and performance

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
- Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred)

Technical Skills:
- 5+ 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

Desired Certifications:
- Azure Databricks Data Engineer Professional Certification
- Azure Databricks Machine Learning Professional Certificate

Education

Bachelor's degree