AI ML Engineering Analyst

JPMorgan Chase

Quick summary

Work type
On-site
Location
Jersey City, NJ
Salary
$99,750–$135,000 / yr
Posted
2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $189k
This role $117k
$85k most similar roles pay here $240k

This role pays less than 98% of similar roles. Most pay $162,000–$216,300 — the shaded band above. At the midpoint, this role pays about $117k versus about $189k for comparable roles.

Based on 240 similar postings.

Employer

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 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · AI ML Engineering Analyst

Join JPMorganChase as an AI/ML Engineer in the Applied AI and Machine Learning team within Wholesale Payments Operations, where you will tackle complex business challenges by designing and deploying high-quality solutions using modern AI techniques. Your day-to-day responsibilities include implementing cloud-based AI services with production-grade reliability, building data pipelines for model training and evaluation, and applying NLP and document understanding to automate decision-making processes. You’ll work with large datasets and leverage Python, AWS, and managed ML platforms like SageMaker to deliver innovative solutions that enhance operational efficiency in a global payments network processing over 106 million transactions daily. Ideal candidates possess strong software engineering skills, experience with AI coding assistants, and the ability to design agentic systems for production environments.

What you'll do

  • Design, implement, and deploy AI/ML services to cloud infrastructure with production-quality reliability.
  • Build data pipelines for repeatable training, evaluation, and continuous improvement of models in production.
  • Apply NLP techniques to create automated decisioning and workflow augmentation solutions for text and documents.
  • Use AI coding assistants effectively while maintaining engineering rigor and code quality metrics.
  • Prompt engineer systematically by writing, testing, refining prompts, and documenting patterns for reproducibility.
  • Design agentic systems with appropriate task decomposition, tool interfaces, safeguards, and performance measurement.

What we're looking for

  • 2+ years of hands-on Python experience building production-grade software.
  • 1+ year of experience deploying to cloud infrastructure (AWS or equivalent).
  • Strong background in object-oriented design and concurrency fundamentals.
  • Practical experience applying AI/ML techniques in real-world settings.
  • Proficiency using AI coding tools to enhance development throughput.
  • Working knowledge of prompt engineering for repeatable, high-quality AI outputs.
  • Experience productionizing NLP and document understanding solutions at scale.

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