The Senior Machine Learning Engineer role at EY focuses on architecting and deploying AI systems that transform financial services. The position is part of a dynamic team dedicated to solving complex challenges in the financial sector. You will work with cutting-edge technologies and frameworks to build autonomous systems that process vast amounts of financial data. This role offers the opportunity to shape how AI impacts global finance while collaborating with experts in the field.

• 3-5 years of Python programming experience with production deployment.
• Hands-on experience with large language models such as GPT-4 or similar.
• Familiarity with agentic AI frameworks like LangChain or AutoGen.
• Experience with vector databases such as Pinecone or Weaviate.
• Knowledge of cloud platforms like AWS SageMaker or Azure OpenAI Service.
• Understanding of MLOps practices including model versioning and continuous deployment.

• Design and implement multi-agent architectures for complex financial workflows.
• Deploy production-ready LLMs fine-tuned for financial domain expertise.
• Create Retrieval-Augmented Generation systems that connect AI agents to enterprise knowledge bases.
• Build robust MLOps pipelines for continuous model improvement.
• Prototype breakthrough applications such as AI-powered trading assistants.
• Collaborate with financial domain experts to translate regulations into AI agent behaviors.

• Ernst & Young (EY) offers a comprehensive and competitive benefits package designed to support the well-being of its employees across various dimensions.