Lead the strategic development of AI/ML products, promoting best practices and creating shared tools for the end-to-end ML lifecycle.
Job Description
As an Applied AI/GenAI ML Director within the Asset and Wealth Management Technology Team at JPMorgan Chase, you will provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances. This role will focus on establishing and nurturing common capabilities, best practices, and reusable frameworks, creating a foundation for AI excellence that accelerates innovation and consistency across business functions.
Job responsibilities:
• Establish and promote a library of common ML assets, including reusable ML models, features stores, data pipelines, and standardized templates.• Lead efforts to create shared tools and platforms that streamline the end-to-end ML lifecycle across the organization.• Create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques.• Gain Experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipelines• Advise on the strategy and development of multiple products, applications, and technologies.• Lead advisor on the technical feasibility and business need for AIML use cases.• Liaise with firm wide AI ML stakeholders.• Translate highly complex technical issues, trends, and approaches to leadership to drive the firm's innovation and enable leaders to make strategic, well informed decisions about technology advancements.• Influence across business, product and technology teams and successfully manages senior stakeholder relationships.• champion the firm's culture of diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills:
• Formal training or certification on Machine Learning concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise• MS and/or PhD in Computer Science, Machine Learning, or a related field• At least 10 years' experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must.• Solid understanding of using ML techniques specially in Natural Language Processing (NLP) and Large Language Models (LLMs)• Hands-on experience with machine learning and deep learning methods.• Get Hands on code and design to bring the experimental results into production solutions by collaborating with engineering team. • Good understanding in deep learning frameworks such as PyTorch or TensorFlow. Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search).• Ability to work on system design from ideation through completion with limited supervision.• Passion for detail and follow through. Excellent communication skills and team player• Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners.• Practical cloud native experience such as AWS needed.
Preferred qualifications, capabilities, and skills:
• Experience with Ray, MLFlow, and/or other distributed training frameworks.• In-depth understanding of Embedding based Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.• Advanced knowledge in Reinforcement Learning or Meta Learning.• Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.• Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
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.
As an Applied AI/GenAI ML Director within the Asset and Wealth Management Technology Team at JPMorgan Chase, you will provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, best practices, and technological advances. This role will focus on establishing and nurturing common capabilities, best practices, and reusable frameworks, creating a foundation for AI excellence that accelerates innovation and consistency across business functions.
Job responsibilities:
• Establish and promote a library of common ML assets, including reusable ML models, features stores, data pipelines, and standardized templates.• Lead efforts to create shared tools and platforms that streamline the end-to-end ML lifecycle across the organization.• Create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques.• Gain Experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipelines• Advise on the strategy and development of multiple products, applications, and technologies.• Lead advisor on the technical feasibility and business need for AIML use cases.• Liaise with firm wide AI ML stakeholders.• Translate highly complex technical issues, trends, and approaches to leadership to drive the firm's innovation and enable leaders to make strategic, well informed decisions about technology advancements.• Influence across business, product and technology teams and successfully manages senior stakeholder relationships.• champion the firm's culture of diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills:
• Formal training or certification on Machine Learning concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise• MS and/or PhD in Computer Science, Machine Learning, or a related field• At least 10 years' experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must.• Solid understanding of using ML techniques specially in Natural Language Processing (NLP) and Large Language Models (LLMs)• Hands-on experience with machine learning and deep learning methods.• Get Hands on code and design to bring the experimental results into production solutions by collaborating with engineering team. • Good understanding in deep learning frameworks such as PyTorch or TensorFlow. Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search).• Ability to work on system design from ideation through completion with limited supervision.• Passion for detail and follow through. Excellent communication skills and team player• Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners.• Practical cloud native experience such as AWS needed.
Preferred qualifications, capabilities, and skills:
• Experience with Ray, MLFlow, and/or other distributed training frameworks.• In-depth understanding of Embedding based Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.• Advanced knowledge in Reinforcement Learning or Meta Learning.• Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.• Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
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
AWS
C/C++
Java
Mlflow
Python
PyTorch
Ray
TensorFlow
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