As an AWM Applied AI ML Sr. Associate, you will develop GenAI and Agentic AI solutions, collaborating on NLP/ML projects to enhance client services.
Job Description
Job Description
Join our dynamic team of innovators and technologists as a Senior Applied AI/ML Associate , where your mission will be to revolutionize how the Private Bank services and advises clients, deepen client engagements, and drive process transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment-one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele.
J ob Responsibilities
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.
Required qualifications, capabilities, and skills
Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry.
Minimum of 4 years of 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, HuggingFace.
Strong knowledge of language models, prompt engineering, model finetuning, and domain adaptation.
Familiarity with latest development in deep learning frameworks.
Ability to communicate complex concepts and results to both technical and business audiences.
Preferred qualifications, capabilities, and skills
Prior experience of developing solutions for Financial domain
Exposure to distributed model training, and deployment
Familiarity with techniques for model explainability and self validation
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
About the Team
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.
Job Description
Join our dynamic team of innovators and technologists as a Senior Applied AI/ML Associate , where your mission will be to revolutionize how the Private Bank services and advises clients, deepen client engagements, and drive process transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment-one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele.
J ob Responsibilities
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.
Required qualifications, capabilities, and skills
Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry.
Minimum of 4 years of 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, HuggingFace.
Strong knowledge of language models, prompt engineering, model finetuning, and domain adaptation.
Familiarity with latest development in deep learning frameworks.
Ability to communicate complex concepts and results to both technical and business audiences.
Preferred qualifications, capabilities, and skills
Prior experience of developing solutions for Financial domain
Exposure to distributed model training, and deployment
Familiarity with techniques for model explainability and self validation
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
About the Team
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.
Top Skills
Huggingface
Llm
Ml
Nlp
Python
PyTorch
Transformers
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