Director - Data Science & AI Research at WNS Global Services

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

27 Apr, 26

Salary

0.0

Posted On

27 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Java, R, .Net, SQL, MongoDB, Pytorch, TensorFlow, MLOps, AWS, Azure, Google Cloud Services, NLP, Deep Learning, GenAI, Model Fine Tuning, Reinforcement Learning

Industry

Business Consulting and Services

Description

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 Job Description: Roles and Responsibilities: Experience in any two Python/Java/R/.Net software languages. Experience in one of databases like SQL/MongoDB etc. Experience in AI stacks like Pytorch, TensorFlow, Nemo/NIM, Unsloth, Agentic AI – Lang graph, MS AI Foundry, Hugging Face, Chroma DB/FAISS etc Experience in MLOps and AI deployment infrastructure. Experience in AWS/Azure/Google Cloud Services. Knowledge of responsible AI practices, including bias mitigation and ethical AI use 1. Technical & Strategic Leadership • Define and execute AI strategies aligned with business goals. • Drive architectural decisions and innovation in AI-powered products. 2. Generative & Agentic AI • Build and deploy GenAI models for text generation and content automation. • Experience on working latest AI stacks like Nvidia- Nemo, NIM Microservices, Unsloth, Pytorch, Tensorflow etc. • Develop agentic AI systems with autonomous task planning and decision-making capabilities. • Apply latest deep learning advancements (transformers, diffusion models, etc.) to real-world use cases. 3. Large Language Models (LLMs) • Fine-tune and operationalize LLMs (e.g., GPT, Llama, BERT) for NLP tasks using Nemo, NIM, Unsloth etc frameworks • Work closely with product teams to integrate LLMs into applications. • Establish the best practices for LLMOps, including prompt engineering and monitoring. 4. Deep Learning and NLP components • Experience in developing like QnA, chatbots, Image/Video/Audio processing, OCR based components like Extraction etc. • Experience in designing and implementing end-to-end pipelines for Retrieval-Augmented Generation (RAG), including document indexing, retrieval mechanisms• Experience in evaluating AI solutions using appropriate metrics 5. Collaboration & Stakeholder Engagement • Translating business needs into ML solutions in partnership with product and engineering teams. • Communicate insights and recommendations to stakeholders across levels. • Promote a culture of data-driven decision-making. 6. Research & Innovation • Stay updated on the latest in AI/ML and contribute to R&D efforts. • Encourage experimentation, POCs, and technical publications. Qualifications Qualifications: • Bachelors or master’s in computer science, Artificial Intelligence, or a related field. • 10+ years of experience in AI/ML, NLP, Deep Learning, Gen AI, Model fine tuning, Reinforcement learning, etc. • Expertise in developing AI-driven systems, with a deep understanding of the entire AI model lifecycle, from design to deployment and maintenance. • Should be able communicate with cross functional teams like Product/BUs team for understanding requirements. • Ability to explain things to Business/Operations people in non-technical language. • Proven ability to work independently, manage multiple projects simultaneously, and adapt to changing priorities in a fast-paced environment

Responsibilities

The Director will define and execute AI strategies aligned with business goals and drive architectural decisions in AI-powered products. They will also build and deploy generative AI models and develop agentic AI systems.