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Strong PwC brand plus metro location and hot GenAI skills increase applicant density moderately.
Generative AI, LLM fine-tuning and ML frameworks skills are highly transferable across industries.
Explicit 8–13 years plus many mandatory GenAI, ML, and tool requirements enforce strict shortlisting.
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Lead and manage AI/ML projects focusing on generative AI, including large language models, chatbots, and retrieval-augmented generation techniques.
Develop, deploy, and optimize AI applications in production leveraging frameworks like LangFlow, LangChain, and coding tools such as VS Code + Copilot.
Collaborate with cross-functional teams to deliver scalable AI solutions using advanced machine learning, deep learning, and data mining techniques.
8-13 years of relevant work experience in AI/ML and generative AI application development.
Bachelor's or Master's degree in Engineering (BE, B.Tech, M.Tech).
Hands-on experience with generative AI design, development of GenAI applications in production, and expertise in RAG, vector databases, LangChain, and multimodal AI.
Strong programming skills in Python/R, SQL, and experience with ML frameworks like PyTorch and TensorFlow.
Deep expertise operating with large language models and generative AI services such as OpenAI, Google Gemini, Anthropic, and fine-tuning pre-trained models (e.g., GPT, LLaMA) using techniques like LoRA and PEFT.
Experienced in deploying and optimizing AI solutions at scale including ML Ops and LLM Ops processes.
Technically strong individual contributor or manager comfortable leading projects using advanced AI frameworks and tools while engaging cross-disciplinary teams.