Applied AI ML Associate - Payments Operations

Testing Site - JPMC; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase seeks an Applied AI ML Associate in Payments Operations to propose, develop, test, deploy, and monitor ML applications supporting Payments Operations strategy.

The role requires strong software engineering, data-driven thinking, and translating business needs into technical solutions. You will work with a geographically distributed team, delivering scalable ML solutions with impact.

Qualifications

• BS in Computer Science, Mathematics, Engineering, or related field with 3+ years of experience, or MS in a related field.
• Proficient in Python or R; experience with ML frameworks such as Scikit-Learn, TensorFlow, PyTorch; plus version control and testing.
• Strong mathematical and statistical skills including EDA, GLM, trees, clustering, bootstrapping.
• Experience with deep learning for language and image tasks; knowledge of CNNs, RNNs, Transformers.
• Ability to manage AI/ML projects from inception to production; extract insights and evaluate business tradeoffs.
• Eagerness to work with large multimodal datasets.
• Excellent communication and presentation skills; collaboration with non-technical leaders.
• Self-motivated; comfortable with distributed teams.

Responsibilities

• Identify automation opportunities by gathering knowledge and testing hypotheses with ML models.
• Propose and implement approaches to multimodal data to enhance insights and models.
• Design and build ML models in partnership with business units; communicate results and gather feedback.
• Productionize and evaluate models, ensuring governance and compliance.

Skills

Python

R

ML frameworks

Data analysis

Communication

Problem solving

Education

BS in CS/Math/Engineering

MS in related field

Tools

Scikit-Learn

TensorFlow

PyTorch

Version control

Testing

OOP

Job description

Our team is responsible for pushing innovations in the Payments space, which is a cornerstone of JPMorgan Chase business. Payments are at the center of the global economy, connecting businesses and consumers around the world. In recent years, the payments industry has experienced rapid innovation with new technologies entering the market. As part of our Applied AI ML team, you’ll be at the forefront of this transformation, developing machine learning solutions with real impact on global finance.

As an Applied AI ML Associate in our Payments Operations team, you will be responsible for proposing, developing, testing, deploying, and monitoring machine learning applications and models that support the Payments Operations strategy. You will work closely with other team members as well as with a diversity of stakeholders to develop solutions that bring lasting benefit to the business regardless of the latest research trend.This role requires strong software engineering skills, critical thinking about data and applications, and the ability to translate business needs into technical solutions.

Our team values humility, enthusiasm, and collaboration. We seek bright, personable individuals with excellent communication skills and a passion for machine learning.

Job responsibilities

• Identify automation opportunities by gathering business knowledge from stakeholders, exploring large volumes of complex data, and testing hypothesis using traditional and cutting-edge machine learning models.
• Propose and implement innovative approaches to process multimodal data to enhance business insights and power machine learning models.
• Design and build machine learning models in partnership with different parts of the business, by understanding key challenges and metrics of success, communicating results, and gathering feedback to improve model performance and expectations.
• Productionize and evaluate models, ensuring compliance with relevant processes and governance.

Required qualifications, capabilities, and skills

• BS degree in Computer Science, Mathematics, Engineering, or related field with 3+ years of experience, or MSin a related field.
• Proficient in Python, R, or other equivalent languages, including experience using machine learning frameworks such as Scikit-Learn, TensorFlow, Pytorch, as well as version control, testing and object-oriented programming.
• Strong mathematical and statistical skills, including knowledge of exploratory data analysis, statistical models, GLM, decision trees, clustering, and bootstrapping.
• Experience with deep learning for language and image classification, image to text extraction, and knowledge of CNNs, RNNs and Transformers.
• Ability to manage AI/ML project from inception to production, including extraction of insights, planning and completion of milestones, iteration on solutions and evaluation of business tradeoffs.
• Eagerness to work with large and complex datasets, including preprocessing raw and unlabeled multimodal data.
• Excellent communication and presentation skills that enable collaboration and transparency with non-technical senior leaders as well as technical counterparts.
• Self-motivated and comfortable working with a geographically distributed team.

Preferred qualifications, capabilities, and skills

• Experience with Natural Language Processing (NLP), Language Models, and Computer Vision.
• Ability to design intrinsic and extrinsic evaluations of a model's performance aligned with business goals.