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Chase · 3 months ago

Applied AI ML Senior Associate

201 N Walnut St, Wilmington, DE, 19801, US

Full-time

Onsite

Mid, Senior Level

4+ years exp

Chase is seeking a Senior Associate to join their Card Product Configuration & Support team, focusing on leveraging Generative AI (GenAI) to transform processes within the Credit Card business. This role involves developing and implementing GenAI solutions to enhance automation and decision-making, driving efficiency and innovation through strategic projects.

BankingFinancial Services

Responsibilities

Develop and implement GenAI solutions using Python to enhance automation and decision-making processes within the Card Product Configuration & Support team

Design, validate, and deploy Retrieval-Augmented Generation (RAG) solutions and knowledge base integrations, utilizing frameworks such as RAGAS for LLM model validation and performance monitoring

Work with state-of-the-art LLMs including GPT-4o, GPT-4.1, GPT-5, Claude (3.5, 3.7, 4), Llama, Mistral, Nova, BERT, and Transformer models

Collaborate with internal stakeholders to identify business needs and develop GenAI solutions that address client needs and drive transformation

Design and implement scalable and reliable data processing pipelines and deploy GenAI model inference services

Monitor and improve GenAI model performance through feedback, active learning, and advanced validation techniques (e.g., RAGAS)

Integrate and work with AI Agents to automate workflows and enhance business processes

Collaborate with technology teams to deploy and scale GenAI models in production environments

Deliver written, visual, and oral presentations of GenAI findings to business and technical stakeholders

Stay updated on the latest advancements in GenAI, LLMs, and data science, and identify emerging techniques to drive ongoing enhancement

Ensure compliance with data privacy and security standards

Qualification

Generative AI solutionsPython programmingRetrieval-Augmented GenerationDeep learning frameworksLanguage models knowledgeData analytics experienceIntellectual curiosityFinancial services experienceCommunicationLeadership skillsCollaboration skills

Required

Master's degree in a relevant quantitative field and 4+ years of data analytics experience

Advanced Python programming skills with experience writing production-quality code

Strong knowledge of language models, prompt engineering, model fine-tuning, domain adaptation, and RAG architectures

Experience with GenAI frameworks and tools, including RAGAS for LLM validation and knowledge base integration

Hands-on experience with deep learning frameworks such as TensorFlow and PyTorch

Exposure to a wide range of LLMs and GenAI models: GPT-4o, GPT-4.1, GPT-5, Claude (3.5, 3.7, 4), Llama, Mistral, Nova, BERT, Transformer models, and Anthropic models

Experience working with AI Agents and automation tools

Good understanding of data structures, algorithms, and statistics

Excellent communication skills and the ability to convey complex information to both technical and business audiences

Leadership and collaboration skills with a strong intellectual curiosity for solving business problems