JP Morgan Chase & Co.

Applied AI ML Engineer-Vice President

JP Morgan Chase & Co.$150K — $200K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. (2+ years) or Master's degree (4+ years) in Computer Science, Data Science, or Machine Learning.
  • Hands-on experience deploying AI/ML applications in production, preferably on AWS environments like SageMaker.
  • Strong knowledge of MLOps practices for the lifecycle of machine learning models.
  • Proficiency in frameworks such as TensorFlow and PyTorch, along with programming in Python.
  • Experience with generative AI models like GANs, VAEs, or transformers.

Responsibilities

  • Develop and implement machine learning models to tackle operational challenges.
  • Design and deploy generative AI applications for process optimization.
  • Collaborate with stakeholders to convert business needs into technical solutions.
  • Analyze large datasets for actionable insights to aid decision-making.
  • Ensure AI/ML solutions are scalable and reliable in production environments.
  • Keep up with advancements in AI/ML technologies and apply them.
  • Guide and mentor junior team members on AI/ML methodologies.

Benefits

  • Opportunities for professional development and mentorship.
  • Access to advanced AI/ML tools and technologies.
  • Collaboration in cross-functional teams with diverse expertise.
  • Impactful role in transforming operations through AI and ML.
  • Engagement with cutting-edge research and trends in the AI field.
Full Job Description
JOB DESCRIPTION

As an Applied AI ML Engineer-Vice President in our Corporate & Investment Bank, you will be responsible for designing, developing, and deploying cutting-edge AI and machine learning solutions to enhance the efficiency and effectiveness of our operations. You will work closely with cross-functional teams to identify opportunities for automation and process improvement, utilizing your expertise in machine learning and generative AI.

Job Responsibilities

  • Develop and implement machine learning models and algorithms to solve complex operational challenges.
  • Design and deploy generative AI applications to automate and optimize business processes.
  • Collaborate with stakeholders to understand business needs and translate them into technical solutions.
  • Analyze large datasets to extract actionable insights and drive data-driven decision-making.
  • Ensure the scalability and reliability of AI/ML solutions in a production environment.
  • Stay up-to-date with the latest advancements in AI/ML technologies and integrate them into our operations.
  • Mentor and guide junior team members in AI/ML best practices and methodologies.

 

Required qualifications, capabilities, and skills

  • Ph.D. with 2+  years experience or Masters with 4+  years experience  in Computer Science, Data Science, Machine Learning, or a related field.
  • Experience in deploying AI/ML applications in a production environment, with skills in deploying models on AWS platforms such as SageMaker or Bedrock.
  • Familiarity with MLOps practices, encompassing the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models.
  • Expertise in machine learning frameworks such as TensorFlow, PyTorch, Pytorch lightening, or Scikit-learn.
  • Proficiency in programming languages such as Python
  • Proficiency in writing comprehensive test cases, with a strong emphasis on using testing frameworks such as pytest to ensure code quality and reliability.
  • Experience with generative AI models, including GANs, VAEs, or transformers. 
  • Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
  • Familiarity with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes, Amazon EKS).
  • Excellent problem-solving skills and the ability to work independently and collaboratively.
  • Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.

 

Preferred qualifications, capabilities, and skills

  • Experience in the financial services industry, particularly within investment banking operations.
  • Experience in developing AI solutions using agentic frameworks.
  • Experience fine-tuning SLMs with approaches like LoRA, QLoRA and DoRA.
  • Experience with prompt optimization frameworks such as AutoPrompt and DSPY to enhance the performance and effectiveness of prompt engineering.
  • Familiarity with distributed computing systems, frameworks and techniques like data sharding and DDP training
  • Experience with Diffusion models 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.

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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