Software Engineer III - Machine Learning
Listed on 2026-06-04
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Software Development
Software Engineer, AI Engineer, Machine Learning/ ML Engineer, Cloud Engineer - Software
Overview
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Markets Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Responsibilities- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Industrialize AI/ML models at scale, develop well-architected cloud-native data-intensive microservices and products
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Engage in cutting-edge projects including recommender systems, NLP services and Generative AI applications
- Adds to team culture of diversity, equity, inclusion, and respect
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications
- Proficient in coding in one or more languages
- Python or similar API backend development - Advanced knowledge with AWS services, Infrastructure as Code, big data and modern data engineering technologies
- Experience working on recommended systems, NLP services, or other AI/ML systems
- Experience developing large-scale Cloud-native data/AI/ML engineering solutions in large corporate environments
- Overall knowledge of the Software Development Life Cycle
- Practical knowledge of modern cloud-based data architectures and technologies, building end-to-end data-intensive micro-services, including automated data pipelines and backend API development.
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Practical experience with Kubernetes, EKS, MLOps
- Prior experience collaborating with data scientists
JPMorgan Chase & Co., 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 and perspectives that 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.
In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental…
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