Chase · 1 week ago
AI/ML Engineer – Agentic Private Bank Engineer , Sr Associate
575 Washington Blvd, Jersey City, NJ, 07310, US
Full-time
Onsite
Mid, Senior Level
$128K/yr - $195K/yr
4+ years expChase is a leading financial institution seeking a Senior Applied AI/ML Associate to help shape the future of their Private Bank. The role involves developing AI solutions to enhance client services and drive operational transformation using advanced data analysis and machine learning techniques.
BankingFinancial Services
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, determine appropriate objective functions and evaluation metrics, and run statistical analysis of results
Monitor and improve model performance through feedback and active learning
Collaborate with technology teams to deploy and scale the developed models in production
Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders
Stay up-to-date with the latest research in LLM, ML and data science. Identify and leverage emerging techniques to drive ongoing enhancement
Qualification
Required
Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry
Minimum of 4 years of experience in applying NLP, LLM and ML techniques in solving high-impact business problems, such as semantic search, information extraction, question answering, summarization, personalization, classification or forecasting
Advanced python programming skills with experience writing production quality code
Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, gradient descent etc
Hands-on experience with deep learning toolkits such as PyTorch, Transformers, HuggingFace
Strong knowledge of language models, prompt engineering, model finetuning, and domain adaptation
Familiarity with latest development in deep learning frameworks
Ability to communicate complex concepts and results to both technical and business audiences
Preferred
Prior experience of developing solutions for Financial domain
Exposure to distributed model training, and deployment
Familiarity with techniques for model explainability and self-validation
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Mike McDonnell
Managing Director, Head of Chase Travel Platform Product
Nicole Sanchez
Managing Director, Consumer Bank, GM and Product Executive, Growth Financial Products
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