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 you'll 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 firm-wide 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 cross-functional 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 firm-wide 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 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 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 Scikit-Learn.
* 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 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.
Preferred Qualifications, Capabilities, and Skills:
* Experience in the financial services industry.
* Familiarity with AI/ML concepts and applications.
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