JP Morgan Chase & Co.

Applied AI ML Senior Associate, Chief Data & Analytics Office

JP Morgan Chase & Co. • $130K — $155K *
Jersey City, NJ 07305In-Person
Enterprise Technology
Less than 5 years of experience
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Job Overview by Ladders

Qualifications

  • Master's or PhD in Computer Science, Engineering, or related field.
  • 3+ years of applied machine learning experience, focusing on generative AI and large language models.
  • Proficiency in Python and experience with ML frameworks like PyTorch and TensorFlow.
  • Experience deploying large-scale ML/AI models in production environments.
  • Understanding of prompt engineering and orchestration frameworks.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray).
  • Knowledge of MLOps tools and practices.

Responsibilities

  • Lead the design and deployment of advanced AI and ML solutions.
  • Act as a subject matter expert in machine learning techniques and optimizations.
  • Collaborate with cross-functional teams to create scalable AI systems.
  • Conduct experiments to analyze and improve ML models' performance.
  • Develop end-to-end solutions in Python, from proof-of-concept to production.
  • Integrate generative AI within existing ML platforms.
  • Advocate for modern ML infrastructure and practices.

Benefits

  • Opportunities for continuous learning and professional development.
  • Access to state-of-the-art technologies and tools.
  • Collaborative work environment with cross-functional teams.
Full Job Description
Job Description

As an Applied AI ML, Senior Associate in the Chief Data & Analytics Office, you will lead the development and deployment of innovative AI and machine learning solutions. You will collaborate with cross-functional teams to address complex business challenges, drive adoption of modern ML practices, and ensure responsible AI governance. You will have the opportunity to work with state-of-the-art technologies and contribute to a culture of technical excellence and continuous learning.

Job Responsibilities:
  • Lead the hands-on design, development, and deployment of advanced AI, GenAI, and large language model solutions.
  • Serve as a subject matter expert on a wide range of machine learning techniques and optimizations.
  • Collaborate with product, engineering, and business teams to deliver scalable, production-ready AI systems.
  • Conduct experiments using the latest ML technologies, analyze results, and tune models for optimal performance.
  • Own end-to-end code development in Python for both proof-of-concept and production-ready solutions.
  • Integrate generative AI within the ML platform using state-of-the-art techniques.
  • Drive adoption of modern ML infrastructure, tools, and best practices.
  • Optimize system accuracy and performance by identifying and resolving inefficiencies.
  • Communicate technical concepts and results to both technical and business stakeholders.
  • Ensure responsible AI practices, model governance, and compliance with regulatory standards.


Required Qualifications, Capabilities, and Skills:
  • Master's or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field.
  • Minimum 3 years of hands-on experience in applied machine learning, including generative AI, large language models, or foundation models.
  • Experience programming in Python; experience with ML frameworks such as PyTorch or TensorFlow.
  • Proven experience designing, training, and deploying large-scale ML/AI models in production environments.
  • Understanding of prompt engineering, agentic workflows, and orchestration frameworks.
  • Experience with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray, Slurm).
  • Grasp of MLOps tools and practices (MLflow, model monitoring, CI/CD for ML).
  • Strong communication skills with the ability to explain complex technical concepts to diverse audiences.
  • Experience applying data science and ML techniques to solve business problems.
  • Passion for detail, follow-through, and technical excellence.


Preferred Qualifications, Capabilities, and Skills:
  • Experience with high-performance computing and GPU infrastructure (e.g., NVIDIA DCGM, Triton Inference).
  • Familiarity with big data processing tools and cloud data services.
  • Experience with building and deploying ML models on cloud platforms such as AWS Sagemaker, EKS, etc.


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About the Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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.

Navigating the Job Market at JP Morgan Chase & Co.

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
Finance & Insurance
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ
CCF
* Ladders Estimates

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