Applied AI/ML - Vice President jobs in United States
cer-icon
Apply on Employer Site
company-logo

JPMorganChase · 2 hours ago

Applied AI/ML - Vice President

JPMorganChase is one of the oldest financial institutions, offering innovative financial solutions to a wide range of clients. As an Applied AI/ML Lead, you will analyze business problems and develop machine learning solutions while collaborating with various teams to implement large AI/ML initiatives.

Asset ManagementBankingFinancial Services
check
Growth Opportunities
check
H1B Sponsor Likelynote

Responsibilities

Lead programs and provide directions to successfully implement the large AI/ML initiatives
Assist product leadership in defining the problem statements, execution roadmap
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, personalization, or recommendation systems
Collaborate with business, operations, and other technology colleagues to understand AI needs and devise possible solutions
Develop end-to-end ML/AutoML/AutoNLP pipelines and operationalize the end-to-end orchestration of the ML models to support the various use cases like Document Q&A, Search, Information Retrieval, classification, personalization, etc
Build both batch and real-time model prediction pipelines with existing application and front-end integrations
Collaborate to develop large-scale data modeling experiments, Explain complex concepts to senior funders and stakeholders
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
Work with Product Owners and Software Engineers to productionize the models and Partners closely with business partners to identify impactful projects, influence key decisions with data, and ensure client satisfaction

Qualification

Machine LearningDeep LearningNatural Language ProcessingPythonGenerative AIAWSBig DataData ScienceTeam PlayerCommunication Skills

Required

BS or MS or PhD in Computer Science or Data Science or Statistics or Mathematical sciences or Machine Learning. Strong background in Mathematics and Statistics
At least 7 years' experience in applying data science, ML techniques to solve business problems and one of the programming languages like Python, Java, C/C++, etc
Experience with LLMs and Prompt Engineering techniques
1+ year of experience working with Gen AI solutions / LLMs such as GPT, Claude, Llama etc
Solid background in NLP, Generative AI and hands-on experience and solid understanding of Machine Learning and Deep Learning methods and familiar with large language models
Extensive experience with Machine Learning and Deep Learning toolkits (e.g.: Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
Experience with Big Data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2, Glue, etc
Have good understanding about the Active Learning, Agent/Multi Agent Learning, Learning from Supervision/Feedback, etc. Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
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

Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journals
Experience with A/B experimentation and data/metric-driven product development
Ability to develop and debug production-quality code. Familiarity with continuous integration models and unit test development

Benefits

Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Company

JPMorganChase

company-logo
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.

H1B Sponsorship

JPMorganChase has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3471)
2024 (3469)
2023 (3395)
2022 (3594)
2021 (2515)
2020 (2495)

Funding

Current Stage
Public Company
Total Funding
unknown
1998-02-01IPO

Leadership Team

leader-logo
Allison Beer
CEO of Card Services and Connected Commerce
linkedin
leader-logo
Dan Mendelson
CEO, Morgan Health
linkedin
Company data provided by crunchbase