ML Lead Software Engineer for Data Platform

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank - Digital & Platform Services, you play a crucial role in an agile team dedicated to improving, developing, and providing reliable, cutting-edge technology solutions that are secure, stable, and scalable.

Job responsibilities



* Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors


* Develops secure and high-quality production code, and reviews and debugs code written by others


* Drives decisions that influence the product design, application functionality, and technical operations and processes


* Serves as a function-wide subject matter expert in one or more areas of focus


* Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle


* Influences peers and project decision-makers to consider the use and application of leading-edge technologies


* Adds to the team culture of diversity, equity, inclusion, and respect


* Leads GenAI strategy and adoption: Spearheads generative AI initiatives, including chatbots and agentic architectures, aligned with business goals.


* Collaborates cross-functionally: Integrates ML solutions with data scientists, engineers, and stakeholders to enhance platform capabilities.


* Establishes ML lifecycle best practices: Develops standards for model development, deployment, monitoring, and maintenance.


* Mentors ML engineering team: Guides and develops the team, fostering continuous learning and innovation.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years applied experience


* Hands-on practical experience delivering system design, application development, testing, and operational stability


* Advanced in one or more programming language(s)


* Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)


* Ability to tackle design and functionality problems independently with little to no oversight


* Practical cloud native experience


* Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field


* Proven leadership in ML projects : Demonstrated ability to lead machine learning initiatives and drive strategic AI adoption.


* Expertise in GenAI technologies : In-depth knowledge of generative AI, LangChain, LangGraph, Autogen and other orchestration frameworks.


* Strong knowledge of MLFlow


* Solid understanding of system design and enterprise architecture patterns

Preferred capabilities and s...