Data Scientist Associate - Artificial Intelligence Engineer Nlp jobs at Jpmorgan in India, Bengaluru
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India
Bengaluru
883 jobs found
30.07.2024
JPM
JPMorgan Data Scientist Associate - Artificial Intelligence Engineer ... India, Karnataka, Bengaluru
Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain. Conduct research on prompt engineering techniques to improve the performance of prompt-based models...
Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain. Conduct research on prompt engineering techniques to improve the performance of prompt-based models...
Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain. Conduct research on prompt engineering techniques to improve the performance of prompt-based models...
Understand client and advisor needs . Invests in a deep understanding of the business opportunity, advisor & client needs and competitive landscape to inform which initiatives and features to pursue....
Engaging with stakeholders and understanding business requirements,. Developing AI/ML solutions to address impactful business needs,. Working with other team members to productionize end-to-end AI/ML solutions,. Engaging in research and development...
Engaging with stakeholders and understanding business requirements,. Developing AI/ML solutions to address impactful business needs,. Working with other team members to productionize end-to-end AI/ML solutions,. Engaging in research and development...
Strong Programming skills using Python, Java, Java Scripts. Strong in Statistics and probability: very well versed withProbability distributionsOver and under samplingBayesian and frequentist statisticsDimension reductionLinear regressionClusteringDecision Trees. Probability distributions. Over...
Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain. Conduct research on prompt engineering techniques to improve the performance of prompt-based models...
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