AI/ML Engineer

Job Description
A career with us is a journey, not a destination. This could be the next best step in your technical career. Join us if you are excited about shaping the future of technology and driving significant business impact in financial services. Join our team and help us develop game changing, high-quality solutions.
As a AI/ML Engineer within our platform operations team, you will be tasked with the design, construction, and maintenance of our AIOps solution. This role demands a profound knowledge of AI/ML technologies, IT infrastructure, and platform engineering.
Job Responsibilities:

• Lead the design, development, and deployment of generative AI solutions, ensuring alignment with business objectives and technical requirements.
• Provide mentorship and guidance to junior engineers.
• Demonstrate deep expertise in generative AI technologies, contributing to the development of POCs and evaluating new methodologies to enhance AI capabilities.
• Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch. Ensure the delivery of secure, high-quality production code.
• Utilize experience with React or Angular to create intuitive user interfaces for AI applications. Conduct thorough code reviews to maintain high standards of code quality.
• Leverage AWS experience to implement best practices in AI integration, ensuring quality, security, and efficiency across AI projects.
  Identify and implement opportunities to automate processes and enhance the operational stability of generative AI applications and systems.
• Collaborate with cross-functional teams to evaluate and refine architectural designs for AI systems, ensuring scalability and robustness.
• Actively participate in communities of practice to promote the adoption and awareness of new generative AI technologies, fostering a culture of continuous innovation.

Required qualifications, capabilities, and skills:

• Minimum 5+ years of strong proficiency in Python or Java, with the ability to architect and build complex AI models from scratch.
• One year of experience in generative AI development and prompt engineering.
• Proven experience in system design, application development, testing, and operational stability in AI projects.
• Minimum of 3+ years of strong experience with React or Angular.
• 1+ year of AWS experience is a must-have.
• Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, applied to AI projects.
• Experience with LLM models and agentic tools.

Preferred qualifications, capabilities, and skills:

• Experience with AI model optimization and performance tuning to ensure efficient and scalable AI solutions.
• Familiarity with data engineering practices to support AI model training and deployment.
• Ability to collaborate with cross-functional teams to integrate generative AI solutions into broader business processes and applications.
• Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning.
• Experience with AI/ML libraries and tools such as TensorFlow, PyTorch, Scikit-learn, and Keras.

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
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.