DescriptionJob Description:
This is a unique opportunity to apply your skills and contribute to impactful global business initiatives.
As an Applied AI ML Lead - Vice President at JPMorgan Chase within the Commercial & Investment Banks Global Banking team youll leverage your technical expertise and leadership abilities to support AI innovation and delivery. You should have deep knowledge of AI/ML with experience implementing LLM based projects and effective leadership to inspire the team align cross-functional stakeholders engage senior leadership and drive business results.
Job Responsibilities:
- Executes creative software solutions using AI/LLM 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 reviews and debugs code written by others.
- Lead a local AI/ML team with accountability and engagement into a global organization.
- Mentor and guide team members fostering an inclusive culture with a growth mindset.
- Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation.
- Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications define milestones and ensure timely delivery.
- Work with product and business teams to define goals and roadmaps. Maintain alignment with cross-functional stakeholders.
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Design experiments establish mathematical intuitions implement algorithms execute test cases validate results and productionize highly performant scalable trustworthy and often explainable solution.
- Participate and contribute back to firmwide Machine Learning communities through patenting publications and speaking engagements.
- Evaluate and design effective processes and systems to facilitate communication improve execution and ensure accountability.
Required qualifications capabilities and skills
- 14 years (BS) or 8 (MS) or 5 (PhD) years of relevant in Computer Science Data Science Information Systems or equivalent experience.
- Track record of Leading AI/ML or Software development teams.
- Experience as a hands-on practitioner developing production AI/LLM solutions.
- Deep knowledge and experience in machine learning and artificial intelligence. Ability to set teams up for success in speed and quality and design effective metrics and hypotheses.
- Strong programming knowledge of python spark; Strong grasp on vector operations using numpy scipy;
- Expert in at least one of the following areas: Natural Language Processing Knowledge Graph Computer Vision Speech Recognition Reinforcement Learning Ranking and Recommendation or Time Series Analysis.
- Deep knowledge in Data structures Algorithms Machine Learning Data Mining Information Retrieval Statistics.
- Demonstrated expertise in machine learning frameworks: Tensorflow Pytorch Keras Scikit-Learn.
- Familiarity in AWS Cloud services such as EMR Sagemaker etc.
- Strong people management and team-building skills. Ability to coach and grow talent foster a healthy engineering culture and attract/retain talent. Ability to build a diverse inclusive and high-performing team.
- Ability to inspire collaboration among teams composed of both technical and non-technical members. Effective communication solid negotiation skills and strong leadership.
Preferred qualifications capabilities and skills
- Experience working in RAG based LLM projects.
- Experience working in the field of MLOps.
- Good communication skills. Working experience in Innovation based projects is preferred.
Required Experience:
Exec