KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
Responsibilities
6 years of work experience as a Data Scientist
Design and implement GenAI solutions using LLMs, RAG frameworks, and agent-based architectures.
Apply chunking strategies, token management, and prompt engineering to optimize model performance.
Work with open-source GenAI tools such as Lang Chain, Llama Index, and vector databases.
Build and manage knowledge graphs and integrate Vision APIs for multimodal AI applications.
Deploy AI models on cloud platforms (Azure, AWS, GCP) ensuring scalability and reliability.
Collaborate with cross-functional teams to translate business needs into AI-driven solutions.
Proficiency in Python, SQL, and statistical/ML tools (e.g., R, Hadoop/Hive, Scala).
Strong understanding of ML algorithms, statistical modeling, and deep learning.
Hands-on experience with:
Qualifications
BE/Btech
Equal employment opportunity information
KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
