Applied AI & ML Lead, Markets Operations

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Jersey City, NJ
Posted: 82 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $208k

$150k most similar roles pay here $260k

This listing doesn't post a salary. Most similar roles pay $165,375–$249,821.

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 · Applied AI & ML Lead, Markets Operations

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As the Applied AI & ML Lead - Markets Operations, you will join a team focused on improving how Markets Operations functions at scale within the Commercial & Investment Bank. You will lead a team of scientists and engineers to drive the strategy, design, and delivery of production-grade machine learning and generative AI solutions aimed at enhancing operational efficiency, resilience, and control outcomes. Your daily responsibilities include overseeing architecture for agent-based and workflow-automation applications, establishing best practices for model monitoring, and translating complex technical concepts into clear results for senior stakeholders. You will utilize Python along with libraries like scikit-learn, TensorFlow, or PyTorch to manage large datasets and develop models. The role requires expertise in machine learning operations, feature engineering, and evaluating large language model outputs within a highly regulated financial services environment.

Skills

Artificial Intelligence Machine Learning Generative AI Python scikit-learn TensorFlow PyTorch Feature Engineering Statistical Analysis Model Monitoring workflow-automation System Architecture Data Science

What you'll do

Deliver end-to-end machine learning and generative AI solutions to improve operational outcomes.
Set technical direction and execution strategies for model development, deployment, and adoption.
Oversee the architecture and production deployment of agent-based and workflow-automation applications.
Manage, coach, and develop a team of scientists and engineers.
Establish best practices for model monitoring, evaluation, and performance optimization in production.
Partner with stakeholders to define problem statements, success metrics, and delivery roadmaps.
Analyze large, complex datasets to identify risk factors and automation opportunities.
Ensure all AI solutions are engineered for reliability, scalability, and operational readiness.

What we're looking for

Bachelor’s or Master’s degree in computer science, data science, artificial intelligence, or a related field.
Formal training or certification in applied artificial intelligence and machine learning concepts.
5+ years of experience in applied artificial intelligence and machine learning.
Demonstrated leadership in delivering AI/ML initiatives from concept through production, including team and stakeholder management.
Proficiency in Python and common machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
Experience deploying, operating, and maintaining production machine learning systems with performance ownership.
Experience building and deploying generative AI applications and evaluating large language model outputs for quality and risk.
Strong communication skills to translate technical concepts for senior stakeholders and non-technical partners.