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 cooperative 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 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 mechanismso 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

📌 Director - Data Science & Ai Research (Gurugram)
🏢 Wns Global Services
📍 Gurugram