Applied AI ML Lead - Digital Investment Banking
Applied AI ML Lead - Digital Investment Banking
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Job Description
Are you ready to tackle exciting business challenges and drive AI innovation at JPMorgan Chase Join our Applied AI/ML team as a Vice President where youll lead a local team and collaborate on impactful global business initiatives. Apply your expertise to deliver AI/ML projects mentor team members and contribute to firmwide machine learning communities.
As a Vice President in the Applied AI/ML team you will lead a local team collaborate on setting the technical vision and execute strategic roadmaps to drive AI innovation. Your role involves delivering AI/ML projects transforming business requirements into specifications and ensuring timely delivery. You will mentor junior associates participate in machine learning communities and foster an inclusive culture with a growth mindset.
Job Responsibilities:
- Lead a local AI/ML team ensuring accountability and engagement within 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. Transform business requirements into AI/ML specifications define milestones and ensure timely delivery.
- Work with product and business teams to define goals and roadmaps maintaining alignment with crossfunctional stakeholders.
- Exercise sound technical judgment anticipate bottlenecks escalate issues effectively and balance business needs with technical constraints.
- Design experiments establish mathematical intuitions implement algorithms execute test cases validate results and productionize highly performant scalable trustworthy and explainable solutions.
- Mentor junior machine learning associates in delivering successful projects and building successful careers within the firm.
- Participate in and contribute to firmwide machine learning communities through patent filings publications and speaking engagements.
Required Qualifications Capabilities and Skills:
- Significant experience in Computer Science Data Science Information Systems Statistics Mathematics or equivalent fields.
- Proven track record of managing AI/ML or software development teams.
- Experience as a handson 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 hypotheses and metrics.
- Expertise in at least one of the following areas: Knowledge Graphs Computer Vision Reinforcement Learning Ranking and Recommendation or Time Series Analysis.
- Strong understanding of data structures algorithms machine learning data mining information retrieval and statistics.
- Demonstrated expertise in machine learning frameworks such as TensorFlow PyTorch PyG Keras MXNet and ScikitLearn.
- Strong programming skills in Python and Spark; proficiency in vector operations using NumPy / SciPy; experience with distributed computing using multithreading.
- Familiarity with AWS Cloud services such as EMR and SageMaker.
- Strong people management and teambuilding skills. Ability to coach and grow talent foster a healthy engineering culture and attract/retain talent. Ability to build a diverse inclusive and highperforming team.
- Ability to inspire collaboration among teams composed of both technical and nontechnical members. Effective communication solid negotiation skills and strong leadership.
Preferred Qualifications Capabilities and Skills:
- Experience in the financial services industry.
- Familiarity with AI/ML concepts and applications.
Employment Type
Full-Time
