ML Lead Software Engineer for Data Platform
ML Lead Software Engineer for Data Platform
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$ 152000 - 215000
1 Vacancy
Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats 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
Experience in payments: Prior experience working in the financial services industry particularly in payments or banking with an understanding of industry-specific challenges and opportunities.
GenAI Implementation Experience: Hands-on experience in implementing Generative AI solutions such as chatbots or agentic architectures in a production environment.
Advanced Data Analytics Skills: Proficiency in advanced data analytics and statistical methods with the ability to derive actionable insights from complex datasets.
Certification in AI/ML: Relevant certifications in AI or ML such as AWS Certified Machine Learning Specialty Google Professional Machine Learning Engineer or similar credentials demonstrating a commitment to professional development in the field.
Employment Type
Full-Time
