Applied AI & ML Lead, Markets Operations

JPMorgan Chase

Quick summary

Work type
On-site
Location
Jersey City, NJ
Salary
$164,350–$260,000 / yr
Posted
5 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k
This role $212k
$153k most similar roles pay here $272k

This role pays more than 65% of similar roles. Most pay $170,995–$226,600 — the shaded band above. At the midpoint, this role pays about $212k versus about $199k 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.

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View all roles at JPMorgan Chase

At a glance

TL;DR · Applied AI & ML Lead, Markets Operations

As an Applied Artificial Intelligence and Machine Learning Lead at JPMorgan Chase within Markets Operations in the Commercial & Investment Bank, you will lead a team of scientists and engineers to develop and deploy machine learning solutions that enhance operational efficiency and resilience. Your role involves setting technical direction, managing model development and deployment, and fostering a collaborative culture focused on continuous improvement. You will work closely with senior stakeholders to prioritize initiatives, analyze complex datasets, and ensure solutions are scalable and maintainable in production environments. Key skills include hands-on experience with Python and machine learning libraries like scikit-learn, TensorFlow, or PyTorch, as well as expertise in deploying AI applications and understanding regulatory requirements in financial services.

What you'll do

  • Lead end-to-end delivery of machine learning solutions improving operational efficiency.
  • Set technical direction for model development, deployment, and adoption aligned with business priorities.
  • Oversee architecture and production deployment of AI applications for reliability and scalability.
  • Manage and mentor a team of scientists and engineers to foster continuous learning and collaboration.
  • Establish best practices for monitoring and optimizing performance in production environments.

What we're looking for

  • Formal training or certification in applied artificial intelligence and machine learning with at least 5 years of practical experience
  • Bachelor’s or Master’s degree in computer science, data science, AI, or related field (or equivalent experience)
  • Proven leadership in delivering AI/ML initiatives from concept to production, including team management
  • Strong hands-on expertise in Python and common ML libraries like scikit-learn, TensorFlow, PyTorch
  • Experience deploying, operating, and maintaining production machine learning systems with incident ownership
  • Working knowledge of machine learning operations practices for lifecycle management and automation
  • Demonstrated ability to communicate technical concepts effectively to senior stakeholders and non-technical partners

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