EY - Data Science (RARR Job 5034)

Key Responsibilities:

• Design, develop, and deploy AI/ML models and Generative AI applications to solve complex business problems.

• Leverage Azure Cloud Services (Azure ML, Azure Cognitive Services, Azure OpenAI, Azure Data Factory, etc.) for scalable AI solutions.

• Implement end-to-end data pipelines for machine learning workflows, from data ingestion to model serving.

• Collaborate cross-functionally to understand business requirements and translate them into AI/ML solutions.

• Conduct data analysis, feature engineering, and model evaluation to ensure high accuracy and reliability.

• Continuously research and integrate state-of-the-art AI/ML techniques, including Generative AI models (LLMs, Diffusion Models, Transformers).

• Optimize models for cloud-based deployment in Azure environments for performance and cost-efficiency.

• Write clean, reusable, and well-documented code in Python.

• Contribute to the development of AI governance, security, and responsible AI practices.