JP Morgan Chase & Co.

Applied AI ML Associate

JP Morgan Chase & Co.$120K — $145K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Intermediate proficiency in Python (required) and knowledge of other languages like Java or C/C++.
  • Solid foundation in Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Hands-on experience with machine learning and deep learning methodologies.
  • Expertise in deep learning frameworks such as PyTorch or TensorFlow.
  • Experience in advanced ML practices: GPU optimization, fine-tuning, embedding models, and prompt engineering.
  • Ability to manage projects independently with minimal supervision.
  • Strong attention to detail and excellent communication skills.

Responsibilities

  • Acts as a subject matter expert on diverse machine learning techniques.
  • Utilizes extensive knowledge of ML algorithms and frameworks for innovative solutions.
  • Improves ML workflows with expertise in large language models and related technologies.
  • Conducts experiments with cutting-edge ML technologies and refines model performance.
  • Collaborates with the engineering team for hands-on coding of machine learning solutions, both experimental and production-ready.
  • Identifies inefficiencies in systems, optimizing performance in collaboration with product and engineering teams.
  • Integrates Generative AI into the ML platform using state-of-the-art methods.

Benefits

  • Opportunity to work on high-impact, cutting-edge technologies.
  • Collaboration with a dynamic team across various Lines of Business.
  • Engagement with business-critical use cases, ensuring relevance and application.
  • Exposure to advanced ML technologies and tools for professional growth.
Full Job Description
JOB DESCRIPTION
Bring your Applied Research and AIML skills to the next level and bring your advanced expertise in Machine Learning (ML) to join our dynamic AIML Data Platforms Team.
As an Applied AI ML Associate within our Corporate Sector, you will play a pivotal role in developing machine learning and deep learning solutions and experimenting with state-of-the-art models. Join our dynamic team dedicated to building a high-impact solution using generative technologies. We are focused on developing a multi-agent central platform that will be utilized by various Lines of Business (LOBs). Our team actively collaborates with customers to develop, optimize, and support business-critical use cases, ensuring that our platform meets the evolving needs of our clients.
 
 
Job responsibilities
  • Serves as a subject matter expert on a wide range of ML techniques and optimizations.
  • Provides in-depth knowledge of ML algorithms, frameworks, and techniques.
  • Enhances ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
  • Conducts experiments using latest ML technologies, analyzing results, tuning models
  • Provides has Hands on coding to bring the experimental results into production solutions by collaborating with engineering team. Owning end to end code development in python for both proof of concept/experimentation and production-ready solutions.
  • Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions.
  • Integrates Generative AI within the ML Platform using state-of-the-art techniques.

 

 
Required qualifications, capabilities, and skills
  • Experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must.
  • Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
  • Hands-on experience with machine learning and deep learning methods.
  • Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
  • Experience in advanced applied ML areas such as GPU optimization, fine tuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search).
  • Ability to work on tasks and projects through to completion with limited supervision.
  • Passion for detail and follow through. Excellent communication skills and team player.

 

Preferred qualifications, capabilities, and skills
  • Master’s degree in computer science, ML or related areas
  • Experience with Ray, MLFlow, and/or other distributed training frameworks.
  • In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
  • Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
  • Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
  • Experience working with large-scale MLOps pipelines, working with and deploying models to production services.

 

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
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ

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