AI Scientist

Company Description

WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.

Job Description

Role OverviewThe AI Scientist is a technical role responsible for the development of advanced AI components, models and systems. With 4+ years of experience in artificial intelligence and machine learning, this role is focused on hands-on research, solution prototyping, development of enterprise-grade implementation across ML, NLP, Deep Learning, Generative AI, and multi-modal based models applications. The individual is expected to contribute to execute on AI solutions initiatives..Responsibilities1. Generative & Agentic AI· Develop GenAI models/solutions for text generation and content automation.· Experience of working at any of the latest AI stacks like Nvidia- Nemo, NIM Microservices, Pytorch, Tensorflow etc.2. Large Language Models (LLMs)· Fine-tune and operationalize LLMs (e.g., GPT, Llama, BERT) for NLP tasks using Nemo, NIM, UnSloth etc frameworks· Develop solution based on latest coding standards like Pep-83. Deep Learning and NLP components· Experience in developing NLP components like QnA, chatbots, Summarization etc.· Experience in developing deep learning components like Image/Video/Audio processing/classification, OCR based components like Extraction etc.Skills1. Experience in any one Python/Java/R/.Net software languages.2. Experience in any three - Pytorch, TensorFlow, Nemo/NIM, Unsloth, Agentic AI – Lang graph, MS AI Foundry, Hugging Face, Chroma DB/FAISS etc.3. Good to have experience in MLOps and AI deployment infrastructure.4. Good to have experience in AWS/Azure/Google Cloud Services(anyone).Qualifications & Educational Requirements1. Bachelors or master’s in computer science, Artificial Intelligence, or a related field2. 4+ years of experience in AI/ML, NLP, Deep Learning, Gen AI, Model fine tuning, Reinforcement learning, etc.3. Experience in developing AI-driven solutions, with a understanding of the entire AI model lifecycle, from design to deployment and maintenance.4. Desired good communication skills, desire to learn and innovate new solutions in AI domain.

Qualifications

B. Tech. + M.B.A.