Postman 0001

Job Title: AI Research Scientist

Business Unit	Capability Hubs
Service Line	Transformation
Location	Bangalore, Pune, Kochi, Kolkata

About Us

Job Details

• Proposed Designation: KPMG Delivery Network Manager (KDN) AI Foundry is dedicated to leading the way in Gen AI research and development. With a commitment to groundbreaking research and collaborative innovation, we are set to leverage new technology in solving business problems for KPMG.
• Role Type: Individual contributor
• Reporting to: Associate Director
• Geo to be Supported: KPMG Delivery Network (KDN)

Roles & Responsibilities

KPMG Delivery Network (KDN) is seeking an innovative AI Research Scientist to join its AI Foundry. This role is focused on pioneering research in the field of Artificial Intelligence (AI), driving the development of cutting-edge technologies, and contributing to the advancement of AI solutions within KDN. The AI Research Scientist will work on high-impact research projects involving Generative AI, Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), and other advanced AI technologies. The role requires a deep passion for AI research, strong analytical skills, and the ability to translate research findings into practical AI solutions that address real-world challenges.

Key Responsibilities Include:

1. Advanced AI Research:
   • Conduct pioneering research in AI, focusing on areas such as Generative AI, ML, Deep Learning, NLP, Reinforcement Learning, and other emerging AI fields.
   • Explore novel AI algorithms, models, and techniques to push the boundaries of current AI capabilities.
   • Develop theoretical foundations for new AI technologies and validate them through experimentation and prototyping.
2. Innovation and Thought Leadership:
   • Lead research initiatives aimed at discovering new AI methodologies and applications that can provide a competitive edge to KPMG.
   • Publish research findings in top-tier academic conferences and journals, contributing to the global AI research community.
   • Represent KDN AI Foundry at industry conferences, workshops, and seminars, sharing insights and innovations with the broader AI community.
3. Collaboration and Cross-Functional Research:
   • Collaborate with other researchers, data scientists, AI engineers, and domain experts to apply research findings to practical business solutions.
   • Work closely with KPMG member firms to understand their challenges & research needs and develop AI solutions that address these requirements.
   • Engage with academic institutions, research organizations, and technology partners to foster collaboration and knowledge exchange.
4. Prototyping and Experimental Development:
   • Develop prototypes and proof-of-concept (PoC) models to demonstrate the practical viability of research findings.
   • Use cutting-edge tools and platforms, such as TensorFlow, PyTorch, Keras, and cloud-based AI services (e.g., Azure AI, AWS SageMaker), to implement research concepts.
   • Conduct experiments to test and refine AI models, ensuring they are robust, scalable, and applicable to real-world scenarios.
5. Data Analysis and Modelling:
   • Analyze large datasets to uncover patterns, correlations, and insights that can inform AI model development.
   • Design and develop custom AI models that address specific research questions, leveraging advanced statistical and machine learning techniques.
   • Implement and validate AI models using rigorous scientific methodologies, ensuring accuracy and generalizability.
6. Mentorship and Knowledge Sharing:
   • Mentor junior researchers and data scientists, providing guidance on research methodologies, model development, and academic writing.
   • Foster a culture of continuous learning and innovation within the AI Foundry, encouraging team members to pursue research and development.
   • Lead internal workshops and training sessions to share research findings and best practices with the broader KDN community.
7. Ethics and Responsible AI:
   • Ensure that all research activities comply with ethical standards and promote responsible AI practices.
   • Address issues related to bias, fairness, transparency, and explainability in AI models, ensuring that AI solutions are trustworthy and ethical.
   • Advocate for the inclusion of ethical considerations in AI research and development within KDN.

This Role is for You If You Have

Educational Qualifications:

• Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field.
• Strong academic background with publications in recognized AI conferences or journals.

Work Experience:

• 7+ years of experience in AI research, with a proven track record of contributing to significant AI advancements.
• Extensive experience in developing AI models, conducting experiments, and publishing research in the areas of Generative AI, ML, NLP, or similar fields.
• Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, and experience using cloud platforms for AI research.

Skills:

• Deep understanding of AI and ML algorithms, with the ability to develop new models and techniques.
• Strong analytical and problem-solving skills, with a focus on applying research to solve complex business challenges.
• Proficiency in programming languages such as Python, R, or similar, with a focus on AI/ML development.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and external partners.
• Strong publication record in AI research, with a focus on innovation and advancing the state of the art.

© 2024 KPMG Global Services Private Limited, © 2024 KPMG Global Services Management Private Limited, © 2024 KPMG Resource Centre Private Limited and © 2024 KPMG Global Delivery Center Private Limited, (collectively referred to as “KGS”) are companies incorporated under the laws of India and a member firms of the KPMG global organization of independent member firms affiliated with KPMG International Limited (“KPMG International”), a private English company limited by guarantee. All rights reserved. The KPMG name and logo are registered trademarks or trademarks of KPMG International.

About KPMG Global Services (KGS)

Established in 2008, KPMG Global Services (KGS) India is a strategic global delivery organization that works with over 50 KPMG firms to provide a progressive, scalable, and customized approach to business requirements.

The KGS India journey has been one of consistent growth, with a current employee count of c.22,000, operating from eight locations in India — Bengaluru, Gurugram, Hyderabad, Mumbai, Kochi, Noida, Kolkata, and Pune. KGS provides a range of Advisory, Tax, and Audit support services to KPMG firms around the world, offering opportunity everywhere with us to make your mark.

Reflecting a sharp focus on our people, as part of KPMG in India, we are rated among the top 10 Best Companies in India for women and as Champions of Inclusion by Avtar and Seramount in 2023. We are also rated as a Gold Employer for our LGBTQ+ inclusive practices and policies by India Workplace Equality Index (IWEI). In addition, we have been ranked among the top three best employers for women and best companies for policies on Diversity and Inclusion, by ASSOCHAM (The Associated Chambers of Commerce & Industry of India).

We are also a LEED and ISO 14001:2015 (Environmental Management System (EMS)) organization and are committed to making a positive impact on people and the planet.

About KPMG Delivery Network (KDN)

KPMG Delivery Network (KDN) is a collectively owned special purpose member firm that supports KPMG’s globally integrated client service delivery model. We leverage our network of Global Delivery Centres to provide cost-effective and high-quality services to support our member firm’s local and global client engagements across our service lines in Advisory, Audit and Tax & Legal. We are a central pillar of KPMG’s collective strategy around service delivery, scalability, and technology investments to help the network better compete and grow market share.

Please be informed that KPMG Global Services (KGS) and its related entities do not charge any money, fees or security deposits from its job seekers during the selection process nor it has authorized any individual or entity to charge such fees or money on its behalf. It has come to our knowledge that certain fraudulent individuals or placement agencies falsely claim to be the empaneled vendors or employees of KGS, offering misleading job opportunities in exchange for fees or security deposits.
We request you to be vigilant and not respond to any individuals or entities demanding fees or charges during the selection process with KGS, as we do not charge any money or fees from anyone seeking employment with us. In case of any suspicion, we encourage you to report the incident directly to us.