Software Engineer III - Machine Learning

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


* Demonstrate self-promote and ability to continuosly learn and stay updated with latest AI and machine learning advancements


* Troubleshoot and debug machine learning related issues


* 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 th...