Applied AIML, Sr Associate

Testing Site - JPMC; Jersey City (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

Testing Site - JPMC in Jersey City, NJ is seeking a Senior Applied AI/ML Associate to drive AI/ML initiatives across client services and operations. You will analyze data, design autonomous AI agents, and deliver cloud-centric software solutions using Python, NLP/LLM techniques, and modern ML tooling.

You will work with stakeholders to identify business needs, experiment with model architectures, and deploy models in production while communicating results to both technical and business

Qualifications

• Advanced degree or significant industry experience in NLP/LLM/ML.
• Strong Python programming and production-grade coding skills.
• Solid understanding of ML algorithms and DL toolkits.
• Experience with PyTorch/Transformers/HuggingFace for model development.

Responsibilities

• Develop GenAI and Agentic AI solutions using Python to automate processes.
• Collaborate with stakeholders to identify business needs and build NLP/ML solutions.
• Apply LLMs, ML techniques, and statistics to improve decision-making and workflow.
• Collect and curate datasets for training and evaluation.
• Experiment with model architectures and hyperparameters; select objectives and metrics.
• Monitor and improve model performance via feedback and active learning.
• Collaborate with tech teams to deploy models in production.
• Present modeling results to business and technical stakeholders.
• Stay current with LLM/ML research and emerging techniques.

Skills

Python programming

NLP/LLM/ML

Production quality code

Language models

Prompt engineering

Fine-tuning

Domain adaptation

Communication skills

NLP/LLM tooling

Education

MS or PhD in quantitative/technical field

Tools

PyTorch

Transformers

HuggingFace

Job 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.

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, 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 of4 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