Applied AI ML Lead Global Banking

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 Banks Global Banking team youll 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 LangGraphAutogen 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/ or 5 (PhD) years of relevant experience in Computer Science Information Systems Statistics Mathematics or equivalent experience.
• Experience working at code level