AI/ML Engineer, Senior Associate

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Jersey City, NJ
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $202k
$145k $266k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,000–$241,750.

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 1240 open roles on FindRole.

Listed pay typically runs $153,591–$207,500 across 14 roles with salary data.

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At a glance

TL;DR · AI/ML Engineer, Senior Associate

The AI/ML Engineer - Senior Associate joins the Asset and Wealth Management AI Engineering team to develop high-impact AI applications and platforms for the financial services industry. In this role, you will lead the hands-on development of business solutions by performing data analysis, creating machine learning and LLM models, and deploying these models to production environments. You will design scalable data processing pipelines and model inference services while collaborating with global partners to drive common AI capabilities. Required skills include proficiency in Python, data structures, algorithms, and statistics, alongside experience with OpenAI or Anthropic models, tracing, and guardrails. You must manage data using SQL stores like Postgres and NoSQL stores like OpenSearch. Preferred expertise includes AWS, Azure, Kubernetes, and full-stack frameworks like Next.js or Svelte.

What you'll do

  • Design and implement the architecture for lighthouse ML and LLM-powered solutions.
  • Develop and productionize high-quality machine learning models, services, and platforms.
  • Build highly scalable and reliable data processing pipelines.
  • Deploy model inference services and solutions into public cloud infrastructure like AWS or Azure.
  • Perform independent end-to-end solution design with a focus on scalability and security.
  • Use LLMs to solve business problems using tracing, evaluations, and guardrails.
  • Manage data models and real-time data processing on SQL and NoSQL stores.

What we're looking for

  • MS in Computer Science, Statistics, Mathematics, or Machine Learning.
  • Minimum 3 years of development experience with at least 2 years working on AI solutions.
  • Experience using LLMs like OpenAI or Anthropic to solve business problems, including tracing, evaluations, and guardrails.
  • Strong programming skills in Python and deep knowledge in Data Structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, and Statistics.
  • Demonstrated ability to perform independent end-to-end solution design with a focus on modern architecture, scalability, and security.
  • Knowledge of data management, including data model design and real-time data processing on SQL (Postgres) and NoSQL (OpenSearch, Redis) stores.
  • Proven leadership capacity for AI/ML idea generation and excellent communication skills with senior technical and business partners.
  • Experience in the financial domain, LLM fine-tuning, full-stack development (Next.js, Svelte), or high-performance languages (Go, Rust) (preferred).

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