IN_Senior Associate_ AI Engineer_ Data Analytics_ Advisory_ Bangalore

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

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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. "

Design, develop, and deploy AI/ML models for business use cases.

• Build and optimize Generative AI applications using LLMs such as GPT, Claude, Llama, Gemini, etc.

• Develop RAG (Retrieval-Augmented Generation) solutions using vector databases.

• Fine-tune and evaluate foundation models for domain-specific applications.

• Collaborate with data engineers, software developers, and business stakeholders to define AI solutions.

• Implement MLOps practices for model deployment, monitoring, and lifecycle management.

• Build APIs and microservices for AI model integration.

• Ensure model performance, scalability, security, and reliability.

• Stay updated with emerging AI technologies and recommend best practices.

• Build and optimize Generative AI applications using LLMs such as GPT, Claude, Llama, Gemini, etc.

• Develop RAG (Retrieval-Augmented Generation) solutions using vector databases.

• Knowledge of AI agents, workflow automation, and autonomous systems.

• Experience working in large-scale enterprise AI transformation projects.