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- Are you looking for an exciting opportunity to solve exciting business problems? Our Technology team builds innovative products, services, applications to support various business functions, workflows of Wholesale Lending Services.As an Applied AI/ML Vice President within the CIB Technology team at JPMorgan Chase, you will play a crucial role in analyzing business problems, experimenting with state-of-the-art models, and developing machine learning and deep learning solutions. You will use your knowledge of ML toolkit and algorithms to deliver the right solution. You will be a part of an innovative team, working closely with our product owners, data engineers, and software engineers to build new systems. We are looking for someone with a passion for data, ML, and Software Development, who can understand the data landscape in large and complex organizations. Job 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 leaders 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.
- Deliver regular team updates and maintain full transparency into the team's priorities, progress, and deliverables across stakeholders.
- Champion a culture of recognition by actively celebrating individual and team accomplishments, reinforcing a positive and high-performing team environment.
Required qualifications, capabilities, and skills- 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. - 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, Tensor Flow, Py Torch, Num Py, 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 qualifications, capabilities and skills- 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 and familiarity with continuous integration models and unit test development
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スクラップ
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JPMorgan Chaseについて
JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
従業員数
New York City
本社所在地
$500B
企業価値
レビュー
3.8
10件のレビュー
ワークライフバランス
3.2
報酬
4.1
企業文化
3.8
キャリア
3.0
経営陣
2.5
65%
友人に勧める
良い点
Good benefits and compensation
Supportive and collaborative environment
Flexible work arrangements
改善点
Long hours and heavy workload
Management issues and lack of direction
High stress during peak times
給与レンジ
41件のデータ
Mid/L4
Senior/L5
Mid/L4 · Applied AI ML Associate
2件のレポート
$188,500
年収総額
基本給
$145,000
ストック
-
ボーナス
-
$182,000
$195,000
面接体験
5件の面接
難易度
3.0
/ 5
期間
14-28週間
内定率
40%
体験
ポジティブ 20%
普通 80%
ネガティブ 0%
面接プロセス
1
Application Review
2
HireVue Video Interview
3
Recruiter Screen
4
Superday/Panel Interview
5
Final Interview
6
Offer
よくある質問
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
ニュース＆話題
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3d ago
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3d ago
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