On-site
Part Time
Design, 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 goodRequired 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.
Graduate/Post Graduate
WNS
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