Assistant Manager-Analytics

0 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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On-site

Job Type

Full 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 DescriptionDesign, develop, and deploy ML/DL models (including Generative AI) using Python. Apply NLP techniques for text analysis and model building. Conduct data preprocessing, feature engineering, and model evaluation. Collaborate with teams to understand needs and deliver AI solutions. Stay updated with the latest advancements in relevant AI fields. Deploy and monitor ML models in production environments.Good Knowledge of AWS/Azure cloud is goodsRequired Skills and Qualifications:Proficiency in Python and relevant ML/DL libraries (e.g., scikit-learn, TensorFlow, Kera’s, PyTorch). Strong understanding and practical application of Machine Learning and Deep Learning algorithms. Experience with Natural Language Processing (NLP) techniques and libraries. Familiarity with Generative AI models and their applications. Experience in data preprocessing, feature engineering, and model evaluation. Ability to deploy and monitor machine learning models. Excellent analytical and problem-solving skills. Strong communication skills to present data insights to stakeholders.Ability to work independently and as part of a team.

Qualifications

Graduate

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