Machine Learning Engineer, GenAI/ML Associate

Jon a dynamic and diverse team that engineers large-scale, complex, and

resilient technology solutions that drive our global business.

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 Associate within our platform operations team, you will be

tasked with the development, construction, and maintenance of our AIOps

solution. This role demands acknowledge of AI/ML technologies, IT

infrastructure, and platform engineering.

Job

Responsibilities

• * Ability to design, development, and deployment of generative AI solutions,
• ensuring alignment with business objectives and technical requirements.
• * Demonstrate 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.
• 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 2+ years of strong proficiency in Python or Java
• * one year of experience in generative AI development and prompt engineering.
• * Proven experience in application development, testing in AI projects.
• * Minimum of 2+ years of experience with React or Angular.
• * 2+ years of AWS experience is a must-have.
• * 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.
• * 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.
• Chase is a leading financial services firm, helping nearly half of America’s
• households and small businesses achieve their financial goals through a broad
• range of financial products. Our mission is to create engaged, lifelong
• relationships and put our customers at the heart of everything we do. We also
• help small businesses, nonprofits and cities grow, delivering solutions to solve
• all their financial needs.
• We offer a competitive total rewards package including base salary determined
• based on the role, experience, skill set and location. Those in eligible roles
• may receive commission-based pay and/or discretionary incentive compensation,
• paid in the form of cash and/or forfeitable equity, awarded in recognition of
• individual achievements and contributions. We also offer a range of benefits
• and programs to meet employee needs, based on eligibility. These benefits
• include comprehensive health care coverage, on-site health and wellness centers,
• a retirement savings plan, backup childcare, tuition reimbursement, mental
• health support, financial coaching and more. Additional details about total
• compensation and benefits will be provided during the hiring process.
• 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
• [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about
• requesting an accommodation.
• Equal Opportunity Employer/Disability/Veterans
• 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.