IN-Senior Associate_GenAI/LLM Engineer_OneCloud_Advsiory_Pan India

12 Months ago • 4-10 Years • Research Development

Job Summary

Job Description

At PwC, our data and analytics professionals leverage data to drive insights and informed business decisions, utilizing advanced analytics to optimize operations and achieve strategic goals. In business intelligence, you will provide strategic insights, develop innovative solutions, and enhance competitive advantage. This role is for a Generative AI/LLM Engineer with 3+ years of experience in developing and deploying large language model-based solutions, focusing on NLP, deep learning, and modern LLM frameworks.
Must have:
  • Design, develop, and deploy LLM-based solutions and applications
  • Fine-tune and optimize pre-trained models (e.g., GPT, BERT, LLaMA, Claude, Mistral) for domain-specific tasks
  • Build prompt-engineered workflows and use retrieval-augmented generation (RAG) to improve model responses
  • Integrate LLMs into products and services using APIs, LangChain, or custom pipelines
  • Collaborate with cross-functional teams to translate business problems into GenAI solutions
  • Maintain knowledge of state-of-the-art research in generative AI and LLMs
  • Implement ethical and responsible AI principles in model usage and deployment
  • Python
  • PyTorch or TensorFlow
  • Sklearn
  • LLM frameworks
Good to have:
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
  • Familiarity with MLOps practices for deploying and monitoring models in production
Perks:
  • Rewards for contributions
  • Wellbeing support
  • Inclusive benefits
  • Flexibility programmes
  • Mentorship

Job Details

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Operations

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Description & Summary: Generative AI/LLM Engineer with 3+ years of experience in developing and deploying large language model-based solutions. The ideal candidate will have hands-on expertise in NLP, deep learning, and working with modern LLM frameworks such as HuggingFace, OpenAI, or LangChain.

Responsibilities:

  • Design, develop, and deploy LLM-based solutions and applications.
  • Fine-tune and optimize pre-trained models (e.g., GPT, BERT, LLaMA, Claude, Mistral) for domain-specific tasks.
  • Build prompt-engineered workflows and use retrieval-augmented generation (RAG) to improve model responses.
  • Integrate LLMs into products and services using APIs, LangChain, or custom pipelines.
  • Collaborate with cross-functional teams to translate business problems into GenAI solutions.
  • Maintain knowledge of state-of-the-art research in generative AI and LLMs.
  • Implement ethical and responsible AI principles in model usage and deployment.

Mandatory skill sets:

Python, PyTorch or TensorFlow, Sklearn, LLM frameworks

Preferred skill sets:

  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • Familiarity with MLOps practices for deploying and monitoring models in production.

Years of experience required:

4 to 10 years

Education qualification:

B-Tech/M-Tech

Education

Degrees/Field of Study required: Bachelor of Engineering, MBA (Master of Business Administration)

Required Skills

Generative AI

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}

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About The Company

At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 152 countries with over 327,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by visiting us at www.pwc.com. PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity.


Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.

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