Data and Analytics Engineering - Artificial Intelligence and Machine Learning - Senior Associate - CS - G

Job Description & Summary: PwC India is seeking a highly skilled Generative AI (Gen AI) Specialist with hands-on experience designing, developing, and deploying Gen AI applications in production environments. This technical role focuses on leveraging advanced AI technologies to build scalable and efficient models, improve business processes, and deliver innovative AI-driven solutions. Job Position Title: IN_Senior Associate_Gen AI_D&A_Advisory_PAN India Responsibilities: Design, develop, and deploy generative AI applications using state-of-the-art models and frameworks in production environments. Implement AI solutions leveraging Retrieval-Augmented Generation (RAG), vector databases, LangChain, and multimodal AI techniques. Optimize and monitor AI models using MLOps / LLMOps best practices for scalable and reliable deployment. Apply statistical, data mining, and deep learning techniques including regression, decision trees, boosting, CNNs, RNNs, Transformers, and other neural networks. Conduct advanced text analytics encompassing NLP, NLU, and NLG for robust AI-driven insights. Fine-tune pre-trained large language models (LLMs) such as GPT, LLaMA, and Claude using LoRA, QLoRA, and PEFT methodologies. Mandatory skill sets: Hands-on experience in generative AI application design, development, and production deployment. Strong knowledge of RAG, vector databases, LangChain, and multimodal AI applications. Expertise in deep learning architectures (CNN, RNN, LSTM, Transformers) and statistical modeling. Proficiency in Python and R, including distributed computing tools and IDEs. Experience in advanced NLP/NLU/NLG techniques and text analytics. Familiarity with LLMOps and MLOps frameworks for model lifecycle management. Working knowledge of PyTorch, TensorFlow, and generative AI services like OpenAI and Google Gemini. Knowledge of fine-tuning techniques for large language models using LoRA, QLoRA, and PEFT. Understanding of agentic AI frameworks such as LangGraph and AutoGen. Preferred skill sets: Experience with scalable AI deployment using containerization (Docker, Kubernetes). Familiarity with data engineering tools like Apache Spark, Airflow, or Azure Data Factory. Domain knowledge in relevant industries like finance, healthcare, or supply chain for contextual AI applications. Years of experience required: 4-7 Years Education qualification: BE, , MCA, MBA,