Machine Learning Engineer - Vice President

JPMorgan Chase
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Job Description

CB Platform & Shared Services is part of the Wholesale Lending Services group under the Commercial Banking LOB. Our Technology team builds innovative products, services, applications to support various business functions, workflows of Wholesale Lending Services.

Job Summary

As a Senior Data Scientist/Data Engineer, you will be intricately involved in analyzing business problems, experimenting with state-of-the-art models, and developing machine learning and deep learning solutions. You will leverage your knowledge of ML toolkit and algorithms to deliver the appropriate solution. You will be a part of an innovative team and work with our product owners, data engineers and software engineers to build new systems. The successful candidate will have a passion for data, ML, Software Development with an emphasis on understanding the data landscape in large and complex organizations.

Job Responsibilities

  • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, personalization, or recommendation systems
  • Collaborate with business, operations, and other technology colleagues to understand AI needs and devise possible solutions
  • Develop end-to-end ML/AutoML/AutoNLP pipelines and operationalize the end-to-end orchestration of the ML models to support the various use cases like Document Q&A, Search, Information Retrieval, classification, personalization, etc.
  • Build both batch and real-time model prediction pipelines with existing application and front-end integrations. 
  • You will collaborate to develop large-scale data modeling experiments, Explain complex concepts to senior funders and stakeholders
  • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
  • Work with Product Owners and Software Engineers to productionize the models and Partners closely with business partners to identify impactful projects, influence key decisions with data, and ensure client satisfaction

Required qualifications, capabilities and skills

  • Solid background in NLP, Generative AI and hands-on experience and solid understanding of Machine Learning and Deep Learning methods and familiar with large language models
  • Extensive experience with Machine Learning and Deep Learning toolkits (e.g.: Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
  • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
  • Experience with Big Data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
  • Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2, Glue, etc.
  • Have good understanding about the Active Learning, Agent/Multi Agent Learning, Learning from Supervision/Feedback, etc. Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
  • Ability to work on tasks and projects through to completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player

Preferred qualifications, capabilities and skills

  • BS or MS or PhD in Computer Science or Data Science or Statistics or Mathematical sciences or Machine Learning. Strong background in Mathematics and Statistics. Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal
  • At least 4-5 years’ experience in one of the programming languages like Python, Java, C/C++, etc. Preferably Python. At least 5 years’ experience in applying data science, ML techniques to solve business problems.
  • Experience with A/B experimentation and data/metric-driven product development. Experience with LLMs and Prompt Engineering techniques.
  • Ability to develop and debug production-quality code. Familiarity with continuous integration models and unit test development

Company Info.

JPMorgan Chase

For over 200 years, JPMorgan Chase & Co has provided innovative financial solutions for consumers, small businesses, corporations, governments and institutions around the world. Today, we're a leading global financial services firm with operations servicing clients in more than 100 countries. JPMorgan Chase & Co. is an American multinational investment bank and financial services holding company headquartered in New York City. JPMorgan Chase

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