Sign up with

Already have an account? Log in here

Need some help?
Talk to us at +91 7670800001

GenAI Consultant at KPMG Delivery Network India 1

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

27 Mar, 26

Salary

0.0

Posted On

27 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative Ai, Nlp, Python, Stakeholder Management, Problem Framing, Machine Learning, Api Development, Research, Transformer Architecture, Retrieval Augmented Generation, Agentic Experience, Aws, Oop, Mathematics, Algorithms, Analytical Approaches

Industry

Business Consulting and Services

Description

Data Science: Consultant Experience: 4+ years Requirement: Bachelors Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 3+ years of relevant experience in Generative AI and NLP Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint. Must have Skills and Experience Excellent communication skill, stakeholder management skill and should be able to frame problem statement into analytical approaches Strong programming experience (at least 3+) in advanced Python including OOPs Strong in GenAI and NLP: Good experience in retrieval augmented generation and strong grasp in agents Should have good understanding of transformer architecture and traditional NLP Should have strong agentic experience Experience of working on AWS Should be able to create APIs for backend Should have a strong appetite to do research, getting familiar with latest techniques on GenAI and come up with his/her own approach and experimentation Additional Desirable experience: Should have good experience in Machine Learning / forecasting (working, finetuning and evaluation)

Responsibilities

The GenAI Consultant will work on data science projects, focusing on Generative AI and Natural Language Processing. They will frame problem statements into analytical approaches and manage stakeholder communications.