Data, Analytics & AI Associate – Generative AI

Job Description

IN_ Associate_ Data Science + Gen AI_ Data Analytics_ Advisory | PwC

The Tone:
This is a full-time role at PwC, located in India. PwC’s data and analytics engineers build robust data solutions, transforming raw information into actionable insights for clients. This role is crucial for enabling informed decision-making and driving business growth by leveraging advanced technologies and techniques. As part of Data and Analytics services, this position helps organizations uncover enterprise insights and drive business results using smarter data analytics. You will contribute to organizational technology capabilities, including business intelligence, data management, and data assurance, helping clients drive change and maintain a competitive edge through data-driven decisions.

The TL;DR
• Role: Full Time
• Type: Full Time
• Location: In-person, India
• Team: Data and Analytics services
• Mission: Help organizations uncover enterprise insights and drive business results using smarter data analytics.
• Tech Stack: Python, PyTorch, TensorFlow, Transformers (Hugging Face), LLM APIs (OpenAI, Anthropic), vector databases (FAISS, Pinecone), RAG frameworks (LangChain, LlamaIndex), AWS Devops, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Databricks Unified Data Analytics Platform, Database Management System (DBMS), Data Lake, Data Pipeline, Data Infrastructure.

What You’ll Actually Do
• Application Design: Design and implement Gen AI applications using LLMs (e.g., GPT, Claude, Llama) and multimodal models.
• Model Optimization: Develop prompt engineering strategies, fine-tune models, and optimize outputs for accuracy and relevance.
• Pipeline Development: Build and deploy AI pipelines for text, image, audio, and video generation.
• System Integration: Integrate AI models into existing systems utilizing various APIs (OpenAI, Anthropic, Hugging Face).
• Performance Improvement: Conduct experiments, evaluate models, and enhance performance using RLHF, embeddings, and retrieval-augmented generation (RAG).

The Must-Haves
• Background: Entry-Level role for individuals with 0-3 years of experience. Required educational qualifications include a Master of Business Administration, Bachelor of Engineering, B.Tech, M.Tech, or MCA, with a foundational understanding of Data Science, Generative AI, and Data Analytics principles.
• Experience: Candidates must possess 0-3 years of professional experience, demonstrating strong hands-on capabilities with Python, PyTorch, TensorFlow, or Transformers (Hugging Face). Familiarity is also required with LLM APIs, various vector databases such as FAISS and Pinecone, and Retrieval-Augmented Generation (RAG) frameworks like LangChain and LlamaIndex.
• Skills: Python, PyTorch, TensorFlow, Transformers (Hugging Face), LLM APIs, Vector Databases, RAG frameworks.
• Bonus: Prior experience in building conversational AI agents such as chatbots, copilots, or AI assistants. Contributions to open-source AI projects or having published research in the field of Artificial Intelligence/Machine Learning are also highly valued.