PwC is hiring for Associate

Job Details

  1. Company: PwC India
  2. Job Position: Associate – Data Science + Gen AI
  3. Location: Bengaluru, Karnataka, India
  4. Employment Type: Full-time
  5. Service Line: Advisory
  6. Specialisation: Data, Analytics & AI
  7. Experience: 0–2 years
  8. Qualification: B.Tech, M.Tech, MBA, or MCA
  9. Job Requisition ID: 758023WD
  10. Salary: ₹8 – ₹13 LPA (Estimated)

Job Overview

PwC India is hiring an Associate for its Data Science and Generative AI team in Bengaluru. The role involves developing AI applications using large language models, building AI pipelines, integrating AI models into existing systems, and improving model performance. Candidates will work with technologies such as Python, PyTorch, TensorFlow, Hugging Face, vector databases, and retrieval-augmented generation (RAG). This opportunity is suitable for candidates with 0–2 years of experience who have practical knowledge of AI and machine learning.

Key Responsibilities

  1. Design and develop Generative AI applications using large language models such as GPT, Claude, and Llama.
  2. Work with multimodal AI models for different business applications.
  3. Develop prompt engineering strategies to improve AI-generated results.
  4. Fine-tune models and optimize their outputs for accuracy and relevance.
  5. Build and deploy AI pipelines for text, image, audio, and video generation.
  6. Integrate AI models into existing systems using APIs from OpenAI, Anthropic, Hugging Face, and other providers.
  7. Conduct experiments to evaluate AI models and their performance.
  8. Improve AI applications using reinforcement learning from human feedback (RLHF), embeddings, and RAG.
  9. Explore new AI technologies, model architectures, and generative AI techniques.
  10. Use data analytics to support business decisions and solve client problems.
  11. Apply data manipulation and analytical techniques to extract useful insights from datasets.
  12. Contribute to the development of practical AI solutions for business requirements.
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Eligibility Criteria

  1. Candidates should have 0–2 years of relevant experience.
  2. A B.Tech, M.Tech, MBA, or MCA qualification is listed in the job description.
  3. Candidates should have strong hands-on experience with Python and relevant AI/ML frameworks.
  4. Knowledge of PyTorch, TensorFlow, or Hugging Face Transformers is required.
  5. Familiarity with large language model APIs is required.
  6. Candidates should understand vector databases and retrieval-augmented generation frameworks.
  7. Ability to develop, test, and evaluate AI applications is expected.
  8. Candidates should have an interest in Generative AI, machine learning, and emerging AI technologies.

Required Skills

  1. Python programming.
  2. Generative AI and large language models.
  3. PyTorch, TensorFlow, or Hugging Face Transformers.
  4. Prompt engineering and model optimization.
  5. LLM API integration.
  6. Vector databases such as FAISS and Pinecone.
  7. RAG frameworks such as LangChain and LlamaIndex.
  8. Embeddings and model evaluation.
  9. AI pipeline development and deployment.
  10. Data analysis and problem-solving.
  11. Understanding of multimodal AI models.
  12. Ability to research and learn emerging AI technologies.
  13. Chatbot, copilot, or AI assistant development is an added advantage.
  14. Open-source AI contributions or published AI/ML research are preferred.

Why Join Company?

  1. Work on Generative AI and data analytics projects for business clients.
  2. Gain practical experience with modern large language models and AI frameworks.
  3. Develop skills in prompt engineering, model evaluation, and AI integration.
  4. Get exposure to multimodal AI and AI pipeline development.
  5. Learn how AI and data analytics can solve real-world business problems.
  6. Work in a technology-driven consulting environment.
  7. Build a foundation for a career in Generative AI, machine learning, and data science.
  8. Get opportunities to develop technical knowledge and analytical skills through project work.
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