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Senior Associate - Applied AI ML - AI Engineering - Machine Learning

JP Morgan Chase

Salary not specified
Sep 22, 2025
New York, NY, USA
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JPMC is looking to solve complex business problems in the financial services industry by developing high-impact AI applications and platforms using unique data and full-service advantage.

Requirements

  • Solid Python programming skills required; with other high-performance language such as Go a big plus
  • Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes.
  • Real-world experience in using LLMs (OpenAI, Claude or other models ) to solve business problems, including full workflow toolset, such as tracing, evaluations and guardrails.
  • Knowledge of data pipelines, both batch and real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis)
  • Expertise in application, data, and infrastructure architecture disciplines
  • Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
  • Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn

Responsibilities

  • Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions
  • Design and implement highly scalable and reliable data processing pipelines and deploy model inference services.
  • Deploy solutions into public cloud infrastructure
  • Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact
  • Collaborate across JPMorgan AWM’s lines of business and functions to accelerate adoption of common AI capabilities
  • Close partnership with peers in a geographically dispersed team and colleagues across organizational lines
  • Develop cutting edge ML and LLM models

Other

  • MS in Computer Science, Statistics, Mathematics or Machine Learning.
  • Minimum 4 years development experience, preferably with 2+ years hands-on Machine Learning Engineering
  • Excellent communication skills and ability to communicate with senior technical and business partners
  • Proven capacity to innovate, including new AI/ML idea generation and GenAI-based solutions
  • Understanding of finance or wealth management businesses is an added advantage