Associate Consultant - Tech Consulting - National - CNS - TC - AI Enabled Automation - Gurgaon

Requisition Id: 1686426

As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we don't just focus on who you are now, but who you can become. We believe that it’s your career and ‘It’s yours to build’ which means potential here is limitless and we'll provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self.

The opportunity : Associate Consultant-National-Tech Consulting-CNS - TC - AI Enabled Automation - Gurgaon

National :

National comprises of sector agnostic teams working across industries for a well rounded experience.

CNS - TC - AI Enabled Automation :

EY Consulting is building a better working world by transforming businesses through the power of people, technology and innovation. Our client-centric approach focuses on driving long-term value for our clients by solving their most strategic problems. EY Consulting is made up of three sub-service lines: Business Consulting (including Performance Improvement and Risk Consulting), Technology Consulting and People Advisory Services. 

In Tech Consulting, we are transforming businesses through the power of people, technology and innovation. It places humans@center, leverages technology@speed and enables innovation@scale.

Your key responsibilities

Technical Excellence

• Generative AI Developer Location: Chennai / Bangalore / Gurgaon (NCR) Type: Full-time Role Overview We are looking for a passionate and skilled Generative AI Developer to join our Generative AI Center of Excellence (CoE). In this role, you will be at the forefront of developing innovative AI solutions, leveraging Large Language Models (LLMs) and generative technologies to solve complex business problems for our clients and internal teams. Key Responsibilities Solution Development: Design, build, and deploy Generative AI applications using foundation models (e.g., GPT-4, Llama, Claude). Prompt Engineering: Develop and optimize advanced prompt strategies and techniques (Chain-of-Thought, Few-Shot) to maximize model performance. RAG Implementation: Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases (Pinecone, Weaviate, Milvus) and orchestration frameworks (LangChain, LlamaIndex). Model Fine-Tuning: Fine-tune and customize LLMs for specific domains and use cases using techniques like PEFT/LoRA. Version Control: Manage code repositories using Git, follow branching strategies, and participate in code reviews. Integration: Integrate AI models into existing applications and workflows, ensuring scalability and reliability. Evaluation: Implement frameworks for evaluating and monitoring model performance, bias, and safety. Research: Stay updated with the latest advancements in Generative AI and emerging technologies. Cost Optimization: Monitor and optimize API usage, token consumption, and cloud resource costs for AI solutions. Qualifications Experience: 3+ years of experience in AI/ML, with a specific focus on Generative AI and LLMs in recent projects. Programming: Strong proficiency in Python and standard ML libraries (PyTorch, TensorFlow, Transformers). GenAI Stack: Hands-on experience with LangChain, LlamaIndex, and vector databases. API Integration: Experience working with APIs from OpenAI, Anthropic, Azure OpenAI, or Hugging Face. Cloud: Experience deploying AI models on cloud platforms (Azure, AWS, GCP). SQL: Proficiency in SQL for data querying and managing structured data. Version Control: Proficiency with Git and repository management (GitHub, GitLab, Azure Repos). Containerization: Familiarity with Docker for packaging and deploying AI applications. Preferred Skills Experience with Agentic workflows (AutoGPT, LangGraph). Knowledge of MLOps practices for LLMs (LLMOps). Background in Natural Language Processing (NLP). Experience in a consulting or client-facing role.

Skills and attributes

To qualify for the role you must have
Qualification

• B.E/B.Tech

Experience

• Backend Development (3+ years)
• Frontend Development (2+ years)
• Full Stack Development (4+ years)
• DevOps Engineering (3+ years)
• Cloud Architecture (5+ years)
• Data Engineering (4+ years)
• Machine Learning (3+ years)
• Deep Learning (2+ years)

What we look for

People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful, and able to sustain positive energy, while being adaptable and creative in their approach.

What we offer

Fuelled by the brilliance of our people, EY has emerged as the strongest brand and the most attractive employer in our field, with market-leading growth over competitors. Our people work side-by-side with market-leading entrepreneurs, game-changers, disruptors, and visionaries. As an organization, we are investing more time, technology, and money than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills, and opportunities.

EY is equally committed to being an inclusive employer, and we strive to achieve the right balance for our people—enabling us to deliver excellent client service while allowing our people to build their careers as well as focus on their wellbeing.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Join us in shaping the future with confidence. Apply Now