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JP Morgan Chase

Runs a consumer bank and an investment bank

Applied AI/ML Lead

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeJersey City, NJ, USA$171k - $260k /yrIn-person

About the Job

Requirements

  • An advanced degree in Computer Science, Data Science, Mathematics, or a related field is required.
  • At least 7 years of applied experience in data science, machine learning, or related areas is required, along with strong Python programming skills and experience with PySpark, Spark SQL, and data manipulation.
  • Experience with LLM orchestration, agentic artificial intelligence libraries, and generative artificial intelligence models such as OpenAI is required.
  • Experience building AI agents and agentic frameworks, as well as building and managing data lakes and data-processing workflows using Databricks, is required.
  • Ability to use AI agents and tools such as Copilot to improve productivity and code quality is required.
  • Ability to communicate ideas and results clearly to stakeholders is required.
  • Strong troubleshooting and problem-solving skills, with the ability to quickly develop proofs of concept and advance them to production, are required.

Responsibilities

  • Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using AI/ML and agentic or generative AI frameworks.
  • Design and deliver secure, stable, scalable technology products and critical technology solutions across corporate technology business functions.
  • Develop AI/ML, generative AI, and agentic AI solutions that address impactful business needs.
  • Apply supervised, unsupervised, and semi-supervised machine-learning techniques.
  • Develop natural-language-processing applications.
  • Write Python code using libraries such as TensorFlow, Keras, PyTorch, and scikit-learn.
  • Work with team members to productionize end-to-end AI/ML solutions.
  • Conduct research and development of innovative relevant solutions.
  • Coach and mentor other AI/ML team members toward personal and professional success.
  • Collaborate with teams across the firm, engage stakeholders, and understand business requirements.
  • Independently take initiative to drive assignments to completion and solve problems without escalation.

Desired Qualifications

  • Understanding of AWS components.
  • Experience integrating AI/ML models into data pipelines.
  • Experience with Git version control and continuous integration and continuous delivery pipelines.
  • Experience with PySpark.
  • Background in financial services.

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1799

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