Description

You will manage end-to-end model building, training, and deployment workflows within the Azure ecosystem.

This role is remote.

Responsibilities

• Build and train machine learning models using Azure Gen AI and OpenAI services.
• Implement MLOps workflows using Azure Machine Learning and Azure DevOps.
• Develop and deploy classification models using H2OAi, XGBoost, and Random Forest.
• Solve integration challenges between Snowflake and PowerBI.
• Explore and integrate Gen AI applications, including ChatGPT and MLOps accelerators.

Required Skills

• 10+ years of professional experience in data science and MLOps.
• Strong expertise in Python for data science and model development.
• Hands-on experience with Azure Machine Learning (ML) and Azure Databricks.
• Proficiency in Azure DevOps for CI/CD pipeline management.
• Experience with Azure OpenAI services.
• Proven track record building classification models (XGBoost, Random Forest, H2OAi).
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience with Snowflake and PowerBI integration.
• Familiarity with Gen AI accelerators and ChatGPT API integration.

Key Skills

Education

Bachelor's degree