JP Morgan Chase & Co.

Applied AI ML Lead - Sales Science

JP Morgan Chase & Co. • $130K — $160K *
Chicago, IL 60603In-Person
Enterprise Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree with 7 years machine learning experience.
  • 5+ years proficiency in Python; knowledge of R or Java useful.
  • Proven ability in applying ML techniques to solve business challenges.
  • Strong foundation in Natural Language Processing and Large Language Models.
  • Familiarity with machine learning and deep learning methods.
  • Expertise in deep learning frameworks like PyTorch or TensorFlow.
  • Self-directed with a focus on project completion and excellent communication skills.

Responsibilities

  • Serve as a subject matter expert on ML techniques and optimizations.
  • Enhance ML workflows with advanced large language model techniques.
  • Conduct experiments with cutting-edge ML technologies and analyze results.
  • Engage in hands-on coding to create robust production solutions.
  • Own the entire code development lifecycle in Python from experimentation to production.
  • Integrate Generative AI with ML Platform using state-of-the-art techniques.

Benefits

  • Opportunity to work on innovative AI/ML projects.
  • Collaborative environment with business partners and product owners.
  • Hands-on approach to developing and scaling AI solutions.
  • Exposure to cutting-edge technologies in the ML field.
  • Potential to contribute to impactful business solutions.
Full Job Description
JOB DESCRIPTION


As an Applied AI ML Lead on the Sales Science team, you will contribute to innovative projects and drive the future of field AI Technologies, leveraging ML tools and algorithms to deliver the right solutions as we build interactive coaching tools for the firm.  You will be part of an innovative team, working closely with business partners, product owners, and fellow data scientists to build new AI/ML solutions and productionlize them. We are looking for someone with a passion for data, ML, and programming, who can build ML solutions at-scale with a hands-on approach with detailed technical acumen.

Job responsibilities

  • Serve as a subject matter expert on a wide range of ML techniques and optimizations.

  • Build and enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques.

  • Conducting experiments using latest ML technologies, analyzing results, tuning models.

  • Actively engage in hands-on coding to convert experimental results into robust production solutions.

  • Take full ownership of the entire code development lifecycle in Python, from proof of concept and experimentation to delivering production-ready solutions.

  • Integrate Generative AI within the ML Platform using state-of-the-art techniques.

Required qualifications, capabilities, and skills
 

  • Bachelor's degree with 7 years of applied machine learning experience.
     

  • 5+ years of experience in one of the programming languages like Python, R, Java, etc. Intermediate Python is a must.
     

  • Experience in applying data science, ML techniques to solve business problems.
     

  • Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
     

  • Experience with machine learning and deep learning methods.
     

  • Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow
     

  • 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
 

  • In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
     

  • MS and/or PhD in Computer Science, Machine Learning, or a related field, with at least 5 years of applied machine learning experience preferred.
     

  • Advanced knowledge in Reinforcement Learning or Meta Learning.
     

  • Software development experience is a plus.
     

  • Demonstrated ability to translate LLM pipelines/workflows into something less technical business partners can understand.
     

  • 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.

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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