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High due to PwC brand, metro location, popular junior ML title, and broad GenAI skill demand.
Medium because core ML/GenAI technical skills transfer across industries, though consulting and governance experience matters.
High due to explicit 0–3 years requirement and mandatory LLM, PyTorch/TensorFlow, and vector DB expertise.
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Design and implement Generative AI applications using large language models and multimodal models, including prompt engineering and model fine-tuning.
Build and deploy AI pipelines for diverse media (text, image, audio, video) and integrate AI models into existing systems using public APIs.
Collaborate with cross-functional teams to translate business needs into AI-driven features and ensure ethical AI compliance and model governance.
0-3 years of work experience in relevant fields.
Strong hands-on experience with Python and machine learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
Familiarity with LLM APIs, vector databases (e.g., FAISS, Pinecone), and retrieval-augmented generation frameworks (e.g., LangChain, LlamaIndex).
Education: B.Tech, M.Tech, MBA, or MCA degree mandatory.
Experience working with Generative AI models and implementing AI/ML pipelines in production-grade environments.
Ability to collaborate effectively with product, design, and engineering teams to deliver AI-driven solutions.
Candidates with exposure to building chatbots, AI assistants, or contributions to open-source AI projects or published AI/ML research have an advantage.