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PwC brand, mid-level (4–8 years), and Pune metro increase candidate competition despite GenAI specialization.
GenAI and LLM engineering skills transfer, but advisory consulting experience increases background sensitivity.
Explicit 4–8 years plus mandatory LLM, PyTorch/Transformers, and vector DB expertise enforces strict filters.
Design and implement Gen AI applications using large language models and multimodal models, including developing prompt engineering and fine-tuning models.
Build and deploy AI pipelines across multiple data types (text, image, audio, video) and integrate AI models into existing systems via APIs.
Conduct experiments and model evaluations using techniques like reinforcement learning with human feedback, embeddings, and retrieval-augmented generation to improve AI performance while ensuring ethical compliance and data privacy.
4-8 years of relevant experience in data science or AI engineering roles.
Proficiency in Python and frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
Experience with LLM APIs, vector databases (e.g., FAISS, Pinecone), and RAG frameworks (e.g., LangChain, LlamaIndex).
Educational qualification: Bachelor’s or Master’s degree in Engineering or related field (B.Tech/M.Tech/MBA/MCA).
Experienced in designing and deploying generative AI solutions using advanced models and integration techniques.
Familiarity with cloud platforms, especially Google Cloud Platform, and data engineering tools across various data modalities.
Candidates with prior exposure to building chatbots or AI assistants, or contributions to open-source AI projects or publications in AI/ML research.