EY - GDS Consulting - AI and DATA - Senior-Agentic AI

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

Job Description: Senior Data Scientist

Role Overview

We are seeking a highly skilled and experienced Senior Data Scientist with a strong background in Python programming, NLP, and AI/ML technologies, including advanced concepts and practical experience with FastAPI/Flask, Transformers, and Generative AI (GenAI). The ideal candidate should have a minimum of 7 years of experience in Data Science and Machine Learning, with a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in cloud services such as AWS and Azure, as well as MLOps practices, will be critical in this role.

Responsibilities

• Your technical responsibilities include but are not limited to:
• Design and implement AI/ML solutions using NLP and Transformer models, and leverage GenAI capabilities to enhance application intelligence.
• Manage AWS cloud infrastructure and services including S3, EC2, Lambda, RDS, Glue, Sagemaker, EMR, and Step Functions to build and deploy scalable machine learning models.
• Utilize AWS Batch for efficient batch computing and maintain code repositories with GIT for version control and collaboration.
• Apply MLOps and LLMOps methodologies to automate the machine learning lifecycle, ensuring models are scalable, maintainable, and reliable.
• Develop and maintain APIs using FastAPI for seamless integration of AI/ML models into applications.
• Work with Bedrock and EKS to orchestrate containerized applications, ensuring high availability and scalability of AI services.

Requirements

• Proven track record with at least 5 years of experience in a technical role focused on AI/ML.
• Expertise in AI/ML frameworks, NLP, Gen AI and Transformer technologies.
• Strong experience with AWS cloud services, particularly for data processing and AI Sage maker.
• Proficiency in MLOps practices and familiarity with LLMOps.
• Experience with FastAPI or similar frameworks for API development.
• Knowledge of container orchestration with AWS EKS and Bedrock.
• Exceptional problem-solving abilities, analytical mindset, and effective communication skills.

Technical Skills:

Mandatory:

• Experience in end to end GenAI and AI/ML projects (design to implement to deploy) in banking industry
• Cloud Platform experience like AWS
• Experience with Any Vector DB/Graph DB
• Strong Experience in Prompt Engineering, RAG Pipeline and conceptual knowledge in Fine Tuning pipeline
• Good experience in Performance Tuning, Testing, Tracing
• Agentic frameworks like crew, autogen, langgraph, swarms, autonomous agent any Agentic framework
• Have done Integration with backend systems with Gen AI applications

Good to have:

• Exposure to Cloud Services, Cloud Storage, Compute Services, Application Services
• Exposure to MLOps/LLMOps
• Relevant Certifications

Domain Skills (in any of the below sectors):

• Banking:
  • Retail/Consumer/personal Banking, Commercial/Corporate Banking, Investment Banking
  • Regulation and Compliance
  • Relevant Certifications
• Insurance:
  • KYC, Onboarding, Policy, Plans, Premium, Payments, Renewal, Claim
  • Regulation and Compliance
  • Relevant Certifications

Good to Have Other Skills

• Team handling experience and architecture design experience.
• Proficiency in creating and delivering Powerpoint presentations.
• Knowledge of Responsible AI practices and Nvidia MLOps platform.
• Experience with fine-tuning open-source AI/ML models.
• Familiarity with DevOps practices, including continuous integration, deployment, and monitoring of AI models.

EY | Building a better working world 

 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  

 
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