Applied AI ML Lead - Global Banking

Job Description
We have an exciting and rewarding opportunity for you to take your Predictive Science career to the next level.
As an Applied AI ML Lead - Data Scientist- Vice President at JPMorgan Chase 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.
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 team members 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

• Formal training or certification on Predictive Science concepts and 5+ years applied experience
• Track record of managing AI/ML or software development teams and experience as a hands-on practitioner developing production AI/ML solutions.
• Deep expertise in machine learning and artificial intelligence, with a proven ability to enable teams to deliver high-quality solutions rapidly .Highly skilled in designing robust metrics, formulating data-driven hypotheses, and driving measurable business outcomes through strategic application of advanced analytics.
• Extensive experience in multiple cutting-edge fields such as AI Agents, Gen-AI (Prompt Engineering including RAG), Large Language Models, Natural Language Processing, Knowledge Graphs, Reinforcement Learning, Ranking, and Recommendation Systems, with proven ability to bridge research and practical implementation.
• Solid foundation in data structures, algorithms, and statistics, complemented by hands-on experience in monitoring machine learning and large language models (LLMs), ensuring model explainability, and managing end-to-end deployment and inferencing in production environments.
• Demonstrated proficiency with leading machine learning frameworks, including TensorFlow, PyTorch & MXNet.
• Advanced programming skills in Python and Spark, with strong experience in vectorized operations (NumPy, SciPy) and distributed computing (multithreading, multi-GPU, Dask, Ray, Polars).
• Familiarity with agentic workflows and relevant frameworks such as LangChain, LangGraph,Autogen, CrewAI and Auto-GPT.
• Familiarity in DataBricks, AWS Cloud services such as AWS Connect, EMR, Sagemaker etc.
• Strong people management, team-building skills and ability to coach and grow talent, foster a healthy engineering culture and attract/retain talent, 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

• 14+ years (BE/BTech/BS) or 8+ (ME/M.Tech/MS) or 5+ (PhD) years of relevant experience in Computer Science, Information Systems, Statistics, Mathematics, or equivalent experience.
• Experience working at code level

About Us
JPMorganChase, 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 recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.