ApplySarthi

Applied AI/ML Senior Associate

JPMorgan

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What applied roles keep asking for: Python (68%), Machine learning (52%), Java (39%), C++ (38%), LLMs (36%), Deep learning (27%), AWS (21%), Generative AI (19%) — counted across their open postings here.

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Questions you are likely to be asked

  1. Why do you want to join JPMorgan?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. Walk me through a model you built, from the data to how it was used.
  4. How did you know your model was actually good, and not just good on your test set?
  5. Tell me about a time the data was messy or wrong. What did you do?

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Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team. As a Applied AI/ML Senior Associate at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Engages with stakeholders and understanding business requirements Develops AI/ML solutions to address impactful business needs Works with other team members to productionize end-to-end AI/ML solutions Engages in research and development of innovative relevant solutions Documents developed AI/ML models to stakeholders Coaches other AI/ML team members towards both personal and professional success Collaborates with other teams across the firm to attain the mission and vision of the team and the firm Required qualifications, capabilities, and skills Formal training or certification on data science concepts and 3+ years applied experience Experience in the application of AI/ML to a relevant field. Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised. Strong experience in natural language processing (NLP) and its applications Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects Previous experience in working on Spark, Hive, and SQL Preferred qualifications, capabilities, and skills Financial service background PhD/Masters in one of the above disciplines

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Listed on oraclehcm · posted 2026-10-06. ApplySarthi collects openings and links to application pages; the role is advertised by JPMorgan, not by us.