Applied AI ML Associate

Applied AI/ML Associate

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Revolutionize AI and machine learning to solve complex problems and promote innovation.

• Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision‑making processes.
• Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client needs and drive transformation.
• Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision‑making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational process.
• Collect and curate datasets for model training and evaluation.
• Perform experiments using different model architectures and hyperparameters, determine appropriate objective functions and evaluation metrics, and run statistical analysis of results.
• Monitor and improve model performance through feedback and active learning.
• Collaborate with technology teams to deploy and scale the developed models in production.
• Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders.
• Stay up to date with the latest research in LLM, ML and data science. Identify and leverage emerging techniques to drive ongoing enhancement.

• Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry.
• Experience in applying NLP, LLM and ML techniques in solving high‑impact business problems, such as semantic search, information extraction, question answering, summarization, personalization, classification or forecasting.
• Advanced Python programming skills with experience writing production quality code.
• Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, gradient descent, etc.
• Hands‑on experience with deep learning toolkits such as PyTorch, Transformers, Hugging Face.
• Strong knowledge of language models, prompt engineering, model fine‑tuning, and domain adaptation.
• Familiarity with latest developments in deep learning frameworks.
• Ability to communicate complex concepts and results to both technical and business audiences.

• Prior experience developing solutions for the financial domain.
• Exposure to distributed model training and deployment.
• Familiarity with techniques for model explainability and self‑validation.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first‑class business in a first‑class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.

We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

J.P. Morgan Asset & Wealth Management delivers industry‑leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Seniority level: Not Applicable

Employment type: Full‑time

Job function: Other