Applied AIML, Sr Associate
Company: JPMorganChase
Location: Jersey City
Posted on: April 3, 2026
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Job Description:
Description Join our dynamic team of innovators and
technologists as a Senior Applied AI/ML Associate , where your
mission will be to revolutionize how the Bank services and advises
clients, deepen client engagements, and drive process
transformation. You will analyze 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. J ob 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. Required qualifications, capabilities, and skills
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
qualifications, capabilities, and skills Prior experience of
developing solutions for Financial domain Exposure to distributed
model training, and deployment Familiarity with techniques for
model explainability and self-validation
Keywords: JPMorganChase, New Britain , Applied AIML, Sr Associate, IT / Software / Systems , Jersey City, Connecticut