Applied Artificial Intelligence Machine Learning, Vice President
JPMorgan Chase & Co.
As a Vice President Applied AI/ML in our dynamic team of innovators and technologists, you will revolutionize how the Bank services and advises clients, deepen client engagements, and promote process transformation. You will analyze and lead existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment—one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele. Job Responsibilities * Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes. * Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client needs and drive transformation. * Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational process.
- Collect and curate datasets for model training and evaluation.
- Perform experiments using different model architectures and hyperparameters,
- Monitor and improve model performance through feedback and active learning.
- Collaborate with technology teams to deploy and scale the developed models in
- Familiarity with latest development in deep learning frameworks.
- Ability to communicate complex concepts and results to both technical and
- Prior experience of developing solutions for Financial domain
- Exposure to distributed model training, and deployment
- Familiarity with techniques for model explainability and self-validation
$170k - $200k
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