Applied AI ML, Senior Associate jobs in United States
cer-icon
Apply on Employer Site
company-logo

Chase · 1 week ago

Applied AI ML, Senior Associate

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. As an Applied AI ML Senior Associate, you will design, build, and deploy scalable analytical solutions while collaborating with stakeholders to drive the adoption of AI technologies and deliver impactful solutions.

BankingFinancial Services

Responsibilities

Develop and implement generative AI and agentic AI solutions using Python to enhance automation and decision-making
Design, deploy, and manage prompt-based models on large language models for natural language processing tasks
Conduct research and guide best practices in prompt engineering to optimize model performance
Collaborate with cross-functional teams to identify business requirements and deliver tailored AI solutions
Communicate complex technical concepts clearly to both technical and non-technical stakeholders, including senior leadership
Build and maintain data pipelines and processing workflows for prompt engineering using cloud services
Develop and maintain tools and frameworks for model training, evaluation, and optimization
Analyze and interpret data to assess model effectiveness and identify improvement opportunities
Lead stakeholder engagement to ensure alignment of AI solutions with business objectives
Support the deployment of machine learning solutions into production business workflows
Foster a culture of innovation and continuous improvement within the team

Qualification

PythonData analysisMachine learningData pipelinesNatural language processingPrompt engineeringCloud servicesCuriosityCommunication skillsProblem-solvingTeam collaborationDetail-oriented

Required

Master's degree in a data science-related discipline, plus three years of industry experience, or PhD in a data science-related discipline
Extensive experience in data analysis, transformation, and analytics using Python
Proven ability to develop and maintain production-quality code
Experience with continuous integration and unit test development
Strong written and verbal communication skills for technical and business audiences
Demonstrated scientific thinking and problem-solving ability
Ability to work independently and collaboratively in team environments
Detail-oriented, curious, and motivated by complex analytical challenges
Experience building and managing data pipelines and workflows
Track record of delivering actionable insights from data
Commitment to professional growth and learning in AI/ML technologies

Preferred

Familiarity with the financial services industry
Experience with A/B testing and data-driven product development
Knowledge of cloud-native deployment in large-scale distributed environments
Experience developing and debugging production-quality machine learning code
Exposure to prompt engineering and orchestration libraries for large language models
Industry experience implementing machine learning solutions in business contexts
Ability to drive innovation and influence technology adoption within organizations

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 provides broad range of financial services. It is a sub-organization of JP Morgan Chase.

Funding

Current Stage
Late Stage

Leadership Team

leader-logo
Mike McDonnell
Managing Director, Head of Chase Travel Platform Product
linkedin
leader-logo
Nicole Sanchez
Managing Director, Consumer Bank, GM and Product Executive, Growth Financial Products
linkedin
Company data provided by crunchbase