Applied AI ML Associate

Job Description
Join our dynamic team of innovators and technologists as a 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.

Job Responsibilities
• Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes.
• Develop and maintain machine learning models to solve complex business problems
• Collaborate with cross functional teams to identify opportunities for leveraging data to drive business solutions
• Analyse large, heterogenous datasets to extract actionable insights and inform decision-making
• Stay updated with the latest advancements in machine learning and especially Large Language Models and agentic systems
• Identify the right state of the art solutions for the bank's objectives and implement them as clean, production-ready code
• Communicate findings and recommendations through clear and concise reports and presentations
• Required qualifications, capabilities and skills
• Proficiency in Python and SQL and familiarity with good software engineering practices
• Excellent written and verbal communication
• Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn
• Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus
• Collaborative, humble and enthusiastic attitude

Preferred qualifications, capabilities and skills
• Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc
• Experience in deep neural networks and familiarity with the latest developments in related fields
• Experience in LLM model finetuning and continuous learning techniques
Experience in prompt engineering techniques and state-of-the-art LLM architectures

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.