REF83085P_2025193012 - Assistant Manager-Data Science - 2 to 4 years Exp

5 years

4 - 8 Lacs

Posted:1 day ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job 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


1. Proficient Python developer (5–6 years) with strong software engineering practices: modular code, testing, performance tuning. 2. Advanced Natural Language Processing experience (2-3 years) : Strong proficiency in analyzing text data. 3. Hands-on Generative AI experience (1.5–2 years): Prompt engineering, few-shot learning, hallucination control, working with OpenAI, Azure OpenAI based models. 4. Developing LLM applications using LangChain, LLamaIndex, RAG pipelines. 5. Familiar with vector databases (FAISS/Qdrant/Pinecone) and retrieval workflows using embeddings from OpenAI or sentence-transformers. 6. Experience integrating Gen AI into applications, especially for chatbots, Q&A systems, document understanding and knowledge retrieval. 7. Skilled in deploying Gen AI applications: Building APIs and microservices (FastAPI, Flask), CI/CD pipelines 8. Experience with any Cloud Platform, preferably AWS (e.g., Amazon EC2, S3, RDS).


Qualifications


B. Tech or MCA degree or equivalent.

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