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AI Lead Engineer @ EY

Home > Data Science & Analytics - Other

 Posted 61 days ago — confirm the vacancy is still active.

 AI Lead Engineer

Job Description

Role & responsibilities


Your key responsibilities

  • Lead the development and optimization of sophisticated machine learning models
  • Architect and implement scalable AI systems integrating various data sources
  • Oversee the setup and management of CI/CD pipelines, Docker environments, and NoSQL databases
  • Mentor and guide entry to mid-level engineers in best practices and new technologies
  • Collaborate with cross-functional teams to integrate AI solutions into business processes
  • Design experiments using advanced scientific methods and validate results rigorously
  • Lead the design, development, and deployment of AI agents powered by large language models (LLMs)
  • Oversee prompt engineering strategies and ensure optimal LLM agent performance
  • Integrate LLM-based agents into enterprise applications and workflows
  • Establish best practices for evaluating, monitoring, and improving LLM agent outputs

Skills and attributes for success

  • Advanced degree (Masters or Ph.D.) in Computer Science, Engineering, Data Science, Mathematics, or related field (preferred)
  • Strong leadership skills with a track record of mentoring junior engineers
  • In-depth knowledge of cloud-based solutions for AI deployment and scaling
  • Experience with advanced testing strategies including A/B testing, unit tests, and integration tests
  • Published research or contributions to open-source machine learning projects
  • Demonstrated experience building and deploying LLM-powered AI agents in production environments
  • Deep understanding of prompt engineering, LLM fine-tuning, and responsible AI practices

Ideally, youll also

  • Demonstrated ability to set up and manage Docker images, NoSQL databases, CI/CD systems
  • Proven expertise in Retrieval Augmented Generation techniques and AI agent platforms
  • Strong proficiency in Python and deep understanding of ML frameworks like TensorFlow, PyTorch, etc.
  • Extensive experience designing and implementing complex machine learning models and combining ML models with agentic AI frameworks
  • Expertise with advanced AI pair programming tools (e.g., GitHub Copilot, Cursor) in agent development
  • Experience architecting solutions that combine LLMs with agentic frameworks and orchestration tools
  • Familiarity with collaborative coding environments and advanced API integration for LLM agents

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time

Contact Details:

Company: EY
Location(s): Hyderabad

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Keyskills:   AI Copilot LLM Pytorch Prompt Engineering Tensorflow AI deployment Workflows AI Agents A/B testing Cursor Machine Learning Agentic Ai Nosql LLM Fine tuning Statistical Modeling RAG Retrieval Augmented Generation Python ML azure

 Fraud Alert to job seekers!

₹ 25-40 Lacs P.A

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