Join our team as a Machine Learning Software Engineer and play a pivotal role in shaping the future of Machine Learning and AI solutions within the Consumer & Community Banking sector at JPMorgan Chase.

As a Machine Learning Software Engineer at JPMorgan Chase within the Consumer & Community Banking, Operations team you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Adds to team culture of diversity, equity, inclusion, and respect
• Develop and implement machine learing models to solve complex buiness problems and enhance ML-driven applications
• Optimize machine learning models for performance and scalability leveraging cloud based resources
• Be self-driven to continuosly learn and stay updated with latest AI and machine learning advancements
• Troubleshoot and debug machine learning related issues
• Demonstrate ability to initiate and contribute to AI strategy
• Be the technical liaison between business, product, data scientists and engineers
• Be a part of our innovation and transformation roadmap

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years of applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Solid experience with Python, SQL,CI/CD pipeline, Github, AWS or Azure or GCP required
• Proven track record in developing machine learning models at scale from inception to business impact on a cloud platform
• Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, neural networks and reinforcement learning
• Hands-on experience in optimizing LLM prompts
• Strong end-to-end working knowledge on how a machine learning product is built
• Familiarity with MLOPs and components in MLOPs ecosystem
• Good understanding of agile methodologies
• Excellent communication and presentation skills


Preferred qualifications, capabilities, and skills

• In-depth knowledge of the financial services industry and their IT systems
• Practical AWS or Azure cloud native experience
• Experience in data streaming tools such as Kafka
• Experience with Generative AI and LLM’s