Applied AI ML Associate Senior

3 weeks ago

Bengaluru, India JPMorgan Chase & Co. Full time

Join the dynamic team at JPMorgan Chase & Co., a leading financial institution with a rich history. We're seeking professionals for various corporate roles, contributing to our mission of providing innovative financial solutions globally. We offer a competitive rewards package and value diversity and inclusion. This opportunity is for a Senior Associate Machine Learning Scientist role.

Job Description

Machine Learning Scientist - Sr. Associate 

As a Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. In this highly collaborative environment, you will work closely with our business, technologists and control partners to deploy solutions into production. This role requires a strong passion for machine learning and a commitment to learning, researching and experimenting with new innovations in the field. You should have solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, and a deep desire to learn. Your motivation and enthusiasm will be key to your success in this role.

Job responsibilities

Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, or recommendation systems Choosing, extending and innovating ML strategies for various banking problems Analyzing and evaluating the ongoing performance of developed models  Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production Learning about and understanding our supported businesses in order to drive practical and successful solutions

Required qualifications, capabilities, and skills

BS with 5+ years, or MS with 3+ years of hand-on industry experience in Machine Learning, preferably Deep Learning. Good understanding of the latest advancement of NLP concepts, such as the transformer architecture and knowledge distillation. Experience in classical ML techniques including classification, clustering, optimization, cross validation, data wrangling, feature selection, and feature extraction Ability to design experiments — establish strong baselines, choose meaningful metrics, and evaluate model performance rigorously Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments Solid written and spoken communication skills 

Preferred qualifications, capabilities, and skills

2 years of hands-on experience with virtual assistant model development and optimization Familiarity with continuous integration models and unit test development Experience with A/B experimentation and data/metric-driven product development

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