AI Frameworks Platform, Executive Director

JPMorgan Chase-posted 2 months ago
$175,750 - $260,000/Yr
Full-time • Executive
New York, NY
Credit Intermediation and Related Activities
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As an AI/ML Executive Director, in our CCB Modeling Organization, you will work on developing cutting-edge large-scale Personalization, Search, Natural Language Processing and Conversational AI Systems to serve our customers and internal agents supporting the bank's operations.

  • Develop Foundational Models for Personalization, Search and Conversational AI using Chase enterprise data.
  • Build ML Frameworks and Libraries to enable scalable approaches for training and inference of ML models.
  • Utilize large-scale distributed computing to effectively apply Agentic-AI in real-world applications to serve JPMC customers and service agents across channels.
  • Use and extend GenAI capabilities to build differentiating applications that are customized to suit product and customer requirements.
  • Effectively and efficiently develop various evaluation mechanisms to identify, address and improve the results of LLM based systems.
  • Build and Lead a team of Machine Learning applied researchers and engineers.
  • Provide technical and career guidance to the team members.
  • Collaborate with cross-functional partners including product, data and engineering.
  • Lead by example to provide the best service and build the most appropriate applications in a timely fashion to address customer concerns, resolving critical issues, and push forward on future roadmap and priorities.
  • Contribute to the full product development lifecycle, including defining the objective and key product deliverables.
  • PhD in Computer Science, with a strong research and industry work experience in AI/ML, Distributed Computing, ML Ops, Recommender Systems, NLU and Information Retrieval.
  • Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
  • Hands-on extensive experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
  • Advanced demonstratable programming skills of 10-15 years (PhD plus industry experience) on more than 1 programming language is required. Preferred: Spark, Python, Scala, Java.
  • Strong background in data structures, algorithms, operating systems, compilers, distributed computing and databases.
  • PhD in computer science with concentration in AI/ML.
  • Full understanding and advanced programming skills using distributed infrastructure, platforms, and computational methods (including distributed ML).
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