Applied AI ML Lead, IP Database

We have an opportunity to leverage and grow your skills by using the latest AI technology to deliver enhancements and efficiencies across all products and services within the database product line.

As an Applied AI/ML lead at JPMorgan Chase within IP Platforms, 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.

In this role you will drive significant business impact through your capabilities and contributions and apply deep technical ability and problem-solving methodologies to tackle a diverse array of opportunities that span multiple technologies and applications.

Job responsibilities


* Work alongside existing product teams leveraging AI technologies to enhance the customer experience, drive efficiencies and build innovative automation across the entire database product line.


* Provide engineering leadership to educate existing teams how they should be using AI effectively, growing our ability to leverage AI technology across the organization.


* 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


* Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture


* Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies


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

Required qualifications, capabilities, and skills


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


* Advanced knowledge of software applications and technical processes with considerable in-depth knowledge of application, data, cloud and infrastructure architecture disciplines.


* Advanced hands-on skills in Python programming.


* Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)


* Hands-on experience with machine learning and deep learning methods.


* Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.


* Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search).


* Ability to work on tasks and projects through to completion with limited supervision.


* Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners.

Preferred qualifications, capabilities, and skills


* Excellent problem-solving and analytical s...