Applied AI ML - Sr. Associate

JobID: 210524799

Category: Predictive Science

JobSchedule: Full time

Posted Date: 2024-06-29T13:44:52+00:00

JobShift:

Base Pay/Salary: Jersey City,NJ $128,250.00-$195,000.00

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.

As an Applied AI ML Senior Associate within our Wholesale Payments team, you will design and implement high-quality solutions for complex business problems at JPMorgan. You will be part of our industry-leading data analytics team at JPMorgan Corporate Investment Bank, using cutting-edge machine learning techniques and the company's unique data assets to optimize business decisions. In this role, you will advance the state-of-the-art in financial applications, ranging from generating business intelligence to predictive models and automated decision making.

Job responsibilities

• Learning about and understanding our supported businesses in order to drive practical and successful solutions

• Choosing, extending and innovating ML strategies for various banking problems

• Applying ML techniques, such as: Data/text mining, Document analysis and summarization, Applying various NER algorithms, Document visual QA, Image/text classification, Image processing, OCR, Design, pre-train and finetune LLMs

• Documenting and explaining the rationale and design considerations behind the selection of an ML approach

• Analyzing and evaluating the ongoing performance of developed models

Required qualifications, capabilities, and skills

• 3+ years of experience with Master's or Bachelor's Degree in an ML-related field

• Advance knowledge with text-mining, NLP, bag-of-words, word2vec, RNNs, text clustering, or NER

• Ability to work collaboratively within our team and with other teams to achieve common goals

• Experience in classical ML techniques including classification, clustering, optimization, cross validation, data wrangling, feature selection, and feature extraction

• Expertise in image processing, template matching, feature descriptors, or CNNs