Applied AI ML Lead

This is a unique opportunity to apply your skills and contribute to impactful global business initiatives.

As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Banks Global Banking team, you ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results.

Job Responsibilities

• 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.


• Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints.


• Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution.


• Mentor Junior Machine Learning associates in delivering successful projects and building successful career in the firm.


• 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, Statistics, Mathematics or equivalent experience.


• Track record of managing AI/ML or software development teams.


• Experience as a hands-on practitioner developing production AI/ML 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.


• 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, pyG, Keras, MXNet, Scikit-Learn.


• Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc.


• 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.

This is a unique opportunity to apply your skills and contribute to impactful global business initiatives.

As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase within the Commercial & Investment Banks Global Banking team, you ll leverage your technical expertise and leadership abilities to support AI innovation. You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results.

Job Responsibilities

• 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.


• Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints.


• Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution.


• Mentor Junior Machine Learning associates in delivering successful projects and building successful career in the firm.


• 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, Statistics, Mathematics or equivalent experience.


• Track record of managing AI/ML or software development teams.


• Experience as a hands-on practitioner developing production AI/ML 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.


• 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, pyG, Keras, MXNet, Scikit-Learn.


• Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc.


• 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.