JP Morgan Chase & Co.

Lead AI Applied ML Engineer

JP Morgan Chase & Co.$150K — $180K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of experience in cloud-based applications; 4+ years as a Machine Learning Engineer (MLE)
  • Strong background in Information Retrieval and Natural Language Processing (NLP)
  • Proficient in functional programming and JVM-based languages like Python and Java
  • Experience integrating models into cloud-scale, microservices architectures
  • Familiar with ML frameworks such as Pytorch, Tensorflow, SciKit, NeMo, and Huggingface Transformers
  • Hands-on experience with AWS services and Databricks
  • Operational experience supporting enterprise-grade ML applications in production

Responsibilities

  • Lead a team of 4-5 ML engineers
  • Ensure development and operational standards are followed
  • Design, build, and manage ML models
  • Develop and implement LLM solutions
  • Create feedback and accuracy measurement techniques for AI solutions
  • Design and manage risk feature data pipelines in Databricks
  • Monitor for drift, bias, and performance issues
  • Collaborate within a cross-functional agile team
  • Work closely with Product Managers and Compliance SMEs to enhance product reliability

Benefits

  • Opportunity to lead and mentor a small team
  • Hands-on role at the cutting edge of ML and NLP
  • Collaborative work environment with diverse teams
  • Engagement with innovative software engineering communities
  • Chance to explore new technologies and methodologies
Full Job Description
JOB DESCRIPTION

As a Lead MLE on the team, you will design, build and productionize Risk typologies/ features, data pipelines, supervised and unsupervised ML models, and LLM risk explainability that operate at scale across high-volume banking transactions. You will be responsible for leading a team of 4 to 5 ML engineers. You will work at the intersection of Risk modeling, and NLP architectures, inference systems, regulatory explainability and auditability.  This is a hands-on senior role requiring deep expertise in ML operations, LLM integration, scalable ML systems and production grade engineering discipline. This role offers a chance to collaborate with product managers, architects, data science and operational teams, while also engaging in software engineering communities to explore new and emerging technologies.

 

Job responsibilities

  • Lead a small group of ML engineers
  • Lead and influence team with development and operational standards adherence
  • Design, build, collaborate, and operate ML models
  • Design, build and operate LLM solutions
  • Design and build feedback and accuracy measurement techniques for AI solutions
  • Design, build, and operate risk features data pipelines in Databricks
  • Conduct monitoring to detect and alert drift, bias and performance degradation
  • Work closely within a cross-functional team following agile based processes
  • Collaborate closely with Product Managers, SRE and Compliance SMEs to continuously improve product adoption, reliability and outcomes

 

Required qualifications, capabilities, and skills

  • 8+ years experience in cloud based applications with 4+ years of experience as an MLE
  • Strong foundation in Information Retrieval, Natural Language Processing and 
  • Expert in functional programming and JVM based languages- Python, Java
  • Experience integrating models into cloud scale, microservices based architectures
  • Experience with one or more ML frameworks - Pytorch, Tensorflow, SciKit, NeMo, Huggingface Transformers
  • Hands-on experience with AWS services, and Databricks
  • Experience/Exposure to SQL, NoSQL and messaging stacks
  • Excellent verbal & written communication skills and bias for action and ownership in early stage env
  • Operational experience in supporting an enterprise grade ML application in production

 

Preferred qualifications, capabilities, and skills

  • Knowledge of Firm Databricks CDAO platform is good to have
  • Experience with building production-grade ML pipelines, APIs and MLOps frameworks
  • Experience in AML, monitoring and investigations systems is a strong plus
  • Good understanding of data engineering concepts, distributed systems, and scalable architectures
  • Familiarity with vector databases, model serving, and inference optimization is a plus

About JP Morgan Chase & Co.

JP Morgan Chase & Co. stands at the forefront of the global financial services industry. They offer an expansive array of products and services to a diverse clientele, including individuals, corporations, governments, and institutions. Ever since the merger of J.P. Morgan & Co. and Chase Manhattan Corporation in 2000, this industry-leading entity has become renowned for its comprehensive portfolio encompassing consumer and community banking, corporate and investment banking, commercial banking, as well as asset and wealth management. Headquartered in the vibrant city of New York, JP Morgan Chase & Co. boasts a formidable presence across over 100 countries worldwide.

Unveiling Employment Opportunities at JP Morgan Chase & Co.

Vacancies and Hiring Initiatives

JP Morgan Chase & Co. is continuously on the lookout for talented individuals eager to contribute to its legacy of excellence. The company's recruitment efforts are geared towards identifying candidates with the right blend of skills and qualifications to drive forward its various business segments. Whether you are a seasoned professional or a recent graduate, JP Morgan Chase offers a plethora of job openings across multiple disciplines.

High-Demand Positions

Among the myriad of roles, certain positions stand out for their attractive compensation packages and career advancement prospects. Notably, high-paying jobs at JP Morgan Chase & Co. include Relationship Manager, Branch Manager, and Software Engineer. These roles are critical to the firm's operations and offer lucrative opportunities for those with the requisite expertise.

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Leveraging Job Portals and Job Alerts

For job seekers aiming to tap into the opportunities at JP Morgan Chase, staying updated through job portals and subscribing to job alerts is crucial. These tools can provide timely information about job openings, job fairs, and recruitment events, enabling candidates to apply promptly and prepare adequately for interviews.

Preparing Your Job Application

Your job application, comprising your resume and cover letter, is your ticket to securing an interview at JP Morgan Chase. Highlight your qualifications, skills, and experiences that align with the job listing, ensuring you stand out in the competitive job market.

Acing the Interview

Preparation is key to succeeding in your interview with JP Morgan Chase. Familiarize yourself with the company's business segments, values, and recent achievements. Demonstrating how your background and aspirations match the company's goals can significantly increase your chances of employment. A World of Job Opportunites in the Financial Services Industry JP Morgan Chase & Co. offers a world of job opportunities for those seeking to make their mark in the financial services industry. With competitive salaries, comprehensive benefits, and endless possibilities for growth, positions at JP Morgan Chase are highly coveted. By staying informed through job sites, tailoring your applications, and preparing thoroughly for interviews, you can enhance your prospects of joining the esteemed ranks of JP Morgan Chase employees. Explore the job board, seize the job opportunities, and embark on a rewarding career journey with one of the world's leading financial institutions.
Learn more about JP Morgan Chase & Co.
Size
661 employees
Market Cap
$384.5 billion
Industry
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ

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