Machine Learning Engineer Lead - Vice President
This VP-level Machine Learning Engineer Lead at JPMorgan will architect and deploy end-to-end AI solutions for high-impact financial workflows, bridging business needs with cutting-edge NLP, computer vision, and scalable cloud infrastructure. The role demands deep expertise in productionizing ML systems while collaborating cross-functionally to drive commercially viable outcomes in payments and transaction processing.
Skills required
About this role
Applied Artificial Intelligence and Machine Learning at JPMorgan Corporate Investment Bank combines cutting edge machine learning techniques with the company’s unique data assets to optimize all the business decisions we make.
As a Machine Learning Engineer Lead - Vice President in Wholesale Payments, you will be engaged to design, implement and deploy high quality solutions for the complex business problems we face at JPMorgan. We need your help in productionizing image extraction, natural language processing and other state of the art approaches to deliver commercially impactful solutions to the businesses we support. You will be called upon to draw from your software engineering experience to deliver intelligent and practical algorithms. Responsible for mission-critical solutions, you must have a deep understanding of the design patterns, Python programming and cloud infrastructure.
Job responsibilities
- Engaging with supported businesses to fully understand our problems in order to drive practical and successful solutions
- Writing clean and performant code
- Championing modern SDLC processes
- Implementing AI/ML services and deploying them to the cloud
- Applying techniques such as data/text mining, document analysis, image/text classification, image processing and OCR
- Designing and implementing data pipelines to facilitate ML training
Analyzing and evaluating the ongoing performance of developed models
Required qualifications, capabilities, and skills
- Bachelor’s Degree in Computer Science or related field
- 4 years of professional Python experience
- 1 year of professional experience with AWS cloud infrastructure
- Strong object-oriented programming and concurrency skills
- Professional exposure to LLMs and agents
- Strong interest in AI/ML
- Basic understanding of Data Science and AI/ML implementations
