Senior Associate Applied AI ML

JPMorgan Chase

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Columbus, OH
Posted
155 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $212k
$158k most similar roles pay here $274k

This listing doesn't post a salary. Most similar roles pay $169,387–$254,750.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Associate Applied AI ML

As an Applied AI ML-Senior Associate within the Consumer & Community Banking Machine Learning team, you will develop and deliver trusted technology products in a secure, stable, and scalable environment. You will apply technical judgment to select appropriate methods, including modern LLM-based approaches, while ensuring solutions are reliable and high-quality for production use. Your daily responsibilities include writing and reviewing code, architecting next-generation machine learning models, improving data quality, and monitoring models in production to reduce agent effort and improve consistency across operational workflows. You will utilize Python, Java, Terraform, and CloudFormation while building AI Agents using LangChain, LangGraph, or AutoGen. You must also implement RAG-based solutions and manage software development pipelines via Jenkins or GitLab CI/CD to solve complex problems involving real-time predictions, big data processing, and advanced analytics.

What you'll do

  • Develop secure, high-quality production code while reviewing and debugging code written by others.
  • Architect and oversee the development of next-generation machine learning models and systems using cutting-edge technologies.
  • Implement LLM-based methods and RAG solutions to improve operational workflows and reduce agent effort.
  • Ensure all machine learning solutions are reliable, secure, scalable, and capable of handling real-time predictions.
  • Monitor models in production and iterate on performance metrics to ensure high data quality.
  • Provide technical guidance and strategic recommendations to business teams, contractors, and executive leadership.
  • Drive innovation in machine learning architecture to support big data processing and advanced analytics.
  • Advocate for firmwide frameworks and best practices throughout the Software Development Life Cycle.

What we're looking for

  • Hold an undergraduate degree in Computer Science or a related field.
  • Hold a master's degree in Computer Science or a related field.
  • Possess training and work experience in LLM, NLP, and search technologies.
  • Demonstrate a proven track record of building and scaling software or machine learning platforms in enterprise environments.
  • Experience with machine learning frameworks and MLOps tools and practices.
  • Proficiency in engineering programming languages such as Python or Java.
  • Proficiency in infrastructure as code tools like Terraform or CloudFormation.
  • Expertise in building AI Agents, tool integration via APIs, and RAG-based solutions.

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