IN-Senior Associate_GEN AI _Data & Analytics _Advisory _Kolkata

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our 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. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary:   A career within….     Responsibilities :     • Strong understanding of Generative AI concepts including Large Language Models (LLMs), prompt engineering, fine-tuning, and model evaluation.   • Proficiency in Python/ PySpark   for AI development, data preprocessing, and scripting.   • Hands-on experience in designing and implementing GenAI applications such as chatbots, document summarization tools, code assistants, or knowledge search solutions.   • Deep understanding of embedding generation, vector databases (e.g., Amazon OpenSearch, Pinecone, FAISS), and retrieval-augmented generation (RAG) pipelines.   • Proficiency in Python and frameworks such as   LangChain , Transformers, and   PyTorch /TensorFlow.   • Experience with LLM APIs (e.g., OpenAI, Anthropic, Claude, Llama, etc.) and vector databases (e.g., OpenSearch, Pinecone, FAISS).   • Ability to design and deploy scalable AI pipelines leveraging cloud platforms — preferably AWS, but Azure experience is also acceptable.   • Understanding of   data security, access control, and cost optimization in a cloud environment.   • Strong knowledge of API development, microservices, and integration of GenAI systems into enterprise applications.   • Strong understanding and hands-on experience with AWS AI and ML services, including Bedrock, SageMaker, Lambda, Step Functions, API Gateway, and CloudWatch.   • Familiarity with cloud-native AI services such as AWS Bedrock, SageMaker, or Azure OpenAI.   Mandatory skill set s:     GEN AI, Python/ Pyspark   Preferred skill sets :     • Proficiency in developing and integrating RESTful APIs   • Understanding of version control systems, such as Git.   • Experience in   MLOps /DevOps practices for model deployment and monitoring.   • Exposure to containerization (Docker, Kubernetes) for AI workloads.   • Knowledge of AI governance, ethical AI, and responsible AI frameworks.   • Strong analytical and problem-solving abilities, with a focus on performance optimization.   • Experience working in Agile delivery