Lead Applied AI ML Data Scientist

As Lead Applied AI ML - Data Scientist within the Commercial & Investment Bank's 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.

• 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, escalary effectively, and balance business needs versus technical constraints.
• Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and product ionize highly performant, scalable, trustworthy and often explainable solution.
• Mentor junior team members delivering successful projects and building successful career in the firm.
• Participate and contribute back to firm‑wide Machine Learning communities through patenting, publications and speaking engagements.
• Evaluate and design effective processes and systems to facilitate communication, improve execution, and ensure accountability.

• Masters with 7+ years experience or PhD with 3+ years of experience in Computer 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.
• 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:
  Large Language Models, Natural Language Processing, Knowledge Graph, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
• Good understanding of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
• Must have good knowledge on agentic patterns and relevant frameworks, such as Lang Chain, Lang Graph, Auto‑GPT etc.
• Strong understanding of AI implementation in software development and legacy code transformation.
• Experience in advanced applied ML areas such as GPU optimization, fine tuning, embedding models, inferencing, prompt engineering, AI evaluation, RAG (Similarity Search).
• Demonstrated expertise in machine learning frameworks:
  Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit‑Learn.
• Programming knowledge of python, spark;
  Strong grasp on vector operations using numpy, scipy etc.

• Familiarity in AWS Cloud services such as EMR, Sage Maker 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.

JPMorgan

Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set…