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Senior AI Scientist
2 weeks ago
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 Overview The Senior AI Scientist is a technical role responsible for driving the development, and deployment of advanced AI components, models and systems. With 7 years of experience in artificial intelligence and machine learning, this role is focused on hands-on research, solution prototyping, and enterprise-grade implementation across foundational models, generative AI, and multi-modal applications.
The individual is expected to contribute deep technical expertise, execute on complex AI initiatives. The ideal candidate combines a strong AI solution development experience, and collaboration across cross-functional business, product and other teams. Responsibilities1.
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.2.
Large Language Models (LLMs)
- Fine-tune and operationalize LLMs (e.g., GPT, Llama, BERT) for NLP tasks using Nemo, NIM, Unsloth etc frameworks
- Establish the best practices for LLMOps, including prompt engineering and monitoring.
- Develop solution based on latest coding standards like Pep-83.
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 Skills1.
Experience in any one Python/Java/R/. Net software languages. Experience in one of databases like SQL/MongoDB etc.2.
Experience in AI stacks like Pytorch, TensorFlow, Nemo/NIM, Unsloth, Agentic AI – Lang graph, MS AI Foundry, Hugging Face, Chroma DB/FAISS etc.3. Experience in MLOps and AI deployment infrastructure.4.
Experience in AWS/Azure/Google Cloud Services(anyone).5. Knowledge of responsible AI practices, including bias mitigation and ethical AI useQualifications & Educational Requirements1. Bachelors or master's in computer science, Artificial Intelligence, or a related field2.
7 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 deep understanding of the entire AI model lifecycle, from design to deployment and maintenance.4. Desired good communication skills,
Qualifications
1. Bachelors or master's in computer science, Artificial Intelligence, or a related field2. 7 years of experience in AI/ML, NLP, Deep Learning, Gen AI, Model fine tuning, Reinforcement learning, etc.
