Associate - Gen AI Data Analytics - Advisory - Gurgaon

Role Overview: At PwC, as an associate in the data and analytics engineering team, your focus will be on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In the artificial intelligence and machine learning team, your work will involve developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. This will include designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation. Key Responsibilities: - Design and implement Gen AI applications using LLMs (e.g., GPT, Claude, Llama) and multimodal models. - Develop prompt engineering strategies, fine-tune models, and optimize outputs for accuracy and relevance. - Build and deploy AI pipelines for text, image, audio, and video generation. - Integrate AI models into existing systems using APIs (OpenAI, Anthropic, Hugging Face, etc.). - Collaborate with product, design, and engineering teams to translate business needs into AI-driven features. - Conduct experiments, perform model evaluation, and improve performance using RLHF, embeddings, and retrieval-augmented generation (RAG). - Stay updated on emerging trends in AI research, model architectures, and generative technologies. - Ensure compliance with ethical AI practices, data privacy, and model governance policies. Qualification Required: - Strong hands-on experience with Python, PyTorch, TensorFlow, or Transformers (Hugging Face). - Familiarity with LLM APIs, vector databases (e.g., FAISS, Pinecone), and RAG frameworks (e.g., LangChain, LlamaIndex). Additional Details of the Company: At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. PwC believes in providing equal employment opportunities, without any discrimination, and strives to create an environment where each individual can bring their true selves and contribute to personal and firm growth. Zero tolerance is maintained for any discrimination and harassment based on various considerations. Role Overview: At PwC, as an associate in the data and analytics engineering team, your focus will be on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In the artificial intelligence and machine learning team, your work will involve developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. This will include designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation. Key Responsibilities: - Design and implement Gen AI applications using LLMs (e.g., GPT, Claude, Llama) and multimodal models. - Develop prompt engineering strategies, fine-tune models, and optimize outputs for accuracy and relevance. - Build and deploy AI pipelines for text, image, audio, and video generation. - Integrate AI models into existing systems using APIs (OpenAI, Anthropic, Hugging Face, etc.). - Collaborate with product, design, and engineering teams to translate business needs into AI-driven features. - Conduct experiments, perform model evaluation, and improve performance using RLHF, embeddings, and retrieval-augmented generation (RAG). - Stay updated on emerging trends in AI research, model architectures, and generative technologies. - Ensure compliance with ethical AI practices, data privacy, and model governance policies. Qualification Required: - Strong hands-on experience with Python, PyTorch, TensorFlow, or Transformers (Hugging Face). - Familiarity with LLM APIs, vector databases (e.g., FAISS, Pinecone), and RAG frameworks (e.g., LangChain, LlamaIndex). Additional Details of the Company: At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. PwC believes in providing equal employment opportunities, without any discrimination, and strives to create an environment where each individual can bring their true selves and contribute to personal and firm growth. Zero tolerance is maintained for any discrimination and harassment based on various considerations.