Roles And Responsibilities Design, develop and deploy machine learning models, algorithms and systems to solve complex business problems Theoretical understanding and practise of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Support the team in maintaining machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Participate in monitoring the performance of machine learning models, gaining experience in using statistical methods for evaluation. Working with the Data Platforms teams for understanding and collecting the data. Conduct performance testing, troubleshooting and tuning as required. Stay current with the latest research and technology and communicate your knowledge throughout the enterprise. Qualifications & Experience Master’s Degree or PhD in the fields of Computer Science, Statistics, or an equivalent with a minimum of 5 years of experience in data science.. Should have worked with at least one GenAI project Should have expertise in Deep Learning & Reinforcement Learning techniques Should have experience in building statistical models using the above-mentioned techniques Should possess ability to build & deploy the models and interpret the results to business users Should have experience working with NLP models and building related applications such as chatbot, text-classifications, etc Should have experience working with big data tools – Hadoop, Hive, Spark. Proficiency in Python, good understanding of OOPs is a must. Worked with at least one mainstream machine learning framework such as Tensor Flow,pyTorch,langchain Experience working with Cloud platforms (Azure, AWS, GCP) Should have ability to write complex SQL & stored procedures Should have experience in working with API’s - deploying models, extracting data. Should have good communication skills and ability to interact with customers Show more Show less

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