Applied AI ML Lead - Data Scientist
Applied AI ML Lead - Data Scientist
Posted on :
24-04-2025
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1 Vacancy
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Job Description
Description
This is a unique opportunity to apply your skills and contribute to impactful global business initiatives.
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 crossfunctional 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 crossfunctional 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 Machine Learning associates 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 and ensure accountability.
Required qualifications capabilities and skills
- 14 years (BS) or 8 (MS) or 5 (PhD) years of relevant in Computer Science Data Science Information Systems Statistics Mathematics or equivalent experience.
- 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 metrics and hypotheses.
- Expert in at least one of the following areas: Natural Language Processing Knowledge Graph Computer Vision Speech Recognition Reinforcement Learning Ranking and Recommendation or Time Series Analysis.
- Deep knowledge in Data structures Algorithms Machine Learning Data Mining Information Retrieval Statistics.
- Demonstrated expertise in machine learning frameworks: Tensorflow Pytorch pyG Keras MXNet ScikitLearn.
- Strong programming knowledge of python spark; Strong grasp on vector operations using numpy scipy; Strong grasp on distributed computation using Multithreading Multi GPUs Dask Ray Polars etc.
- Familiarity in AWS Cloud services such as EMR Sagemaker etc.
- 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.
Employment Type
Full-Time
Key Skills
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