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

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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.

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