Join us as we transform digital banking and create intuitive, enjoyable customer journeys. You’ll have the opportunity to make a meaningful impact while working with innovative technology and a diverse, collaborative team. At JPMorganChase, your curiosity and passion for technology will help us deliver secure, intelligent banking solutions. We value your ideas and empower you to grow your career. Be part of building the bank of the future.
Job Summary:
As a Software Engineer III at JPMorgan Chase within the International Consumer Bank MLOps team, you will design, build, and deploy scalable AI/ML solutions that promote innovation and enhance the banking experience. You will collaborate with data scientists, product managers, and engineering teams to translate business initiatives into robust, customer-focused systems. Your work will enable us to leverage foundational AI and machine learning models to deliver secure, intelligent services. You will be part of a diverse, inclusive, and geographically distributed team focused on delivering real value to our customers.
Job Responsibilities:
Contribute to end-to-end cloud-native microservices and data pipelines using modern technologies and best practices Structure software for clarity, testability, and ease of evolution Build scalable solutions that avoid single points of failure Develop secure code to protect customers and the organization Investigate and resolve issues promptly to prevent recurrence Ensure zero-downtime releases for end-users Monitor model and system performance, identifying and solving problems effectively Build reliable, easy-to-operate systems Continuously update and upgrade technologies and patterns Maintain and improve deployed AI/ML models and microservices throughout the software development lifecycle, including production and incident management Ensure compliance and security in AI/ML solution deployment and operation
Required Qualifications, Capabilities, and Skills:
Formal training or certification on software engineering concepts and proficient applied experience. Recent hands-on experience as a back-end software engineer Proficiency in Java and Python programming languages Experience designing and implementing effective tests (unit, component, integration, end-to-end, performance) Excellent written and verbal communication skills in English Familiarity with advanced AI/ML concepts and protocols, such as Retrieval-Augmented Generation, agentic system architectures, and Model Context Protocol Strong interest in building generative AI applications and tooling Experience with cloud technologies, distributed systems, RESTful APIs, and web technologies
Preferred Qualifications, Capabilities, and Skills:
Background in STEM with exposure to machine learning systems Experience with MLOps tools and platforms (., MLflow, Amazon SageMaker, Databricks, BentoML, Arize) Hands-on experience with cloud computing platforms like AWS, Azure, or GCP Experience working in highly regulated environments or industries
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