IN_Senior Associate_Gen AI_D&A_Advisory_PAN India

Job Description & Summary:

PwC India is seeking a highly skilled Generative AI (Gen AI) Specialist with hands-on experience in designing, developing, and implementing Gen AI solutions across enterprise environments. This is a technical role focused on leveraging advanced AI models and platforms to drive innovative business use cases, automate processes, and enhance data-driven decision-making.

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: 3-7 Years

Education qualification: BE, B.Tech, MCA, MBA, M.Tech

• Experience: 3+ years
• Seniority: Mid Level
• Education: Bachelor's degree required
• Languages: English