Applied AI ML Associate

About This Position:

Are you ready to elevate your career in the dynamic world of Card Marketing? Join our team to leverage your AI/ML skills and drive innovation in campaign validation, contributing to meaningful projects and career growth.

As a Applied AI ML Associate within Card Services, you will be responsible for developing AI/ML based tools and capabilities for Card Marketing Campaign Validation. Your role involves leading the development of intelligent tools and capabilities that elevate campaign quality across Card Marketing. You will architect and deploy AI/ML solutions to validate campaigns for direct mail, online ads, email, and microsites-ensuring accuracy, compliance, and functionality before they reach Chase Card customers. This role drives measurable improvements in quality, speed to launch, and regulatory adherence while simplifying the marketer experience.

Job Responsibilities:

• Define the AI‑driven validation roadmap across Acquisition and Existing Customer Card Marketing.
• Architect and embed end‑to‑end AI checks into campaign authoring and execution workflows for all channels.
• Build AI/ML models to enhance final reads (pre‑launch approvals), incorporating external signals and trend analysis to generate actionable recommendations.
• Partner with Card Marketing, Channel Execution, Legal, Compliance, and Controls to operationalize AI capabilities and standardize measurement across brands and CCB sub‑LOBs.
• Automate quality metrics and evolve the learning agenda using internal benchmarks and external best practices.
• Provide executive‑ready insights, recommendations, and status updates on the portfolio roadmap and key learnings.
• Integrate with upstream and downstream systems to ensure seamless tooling and support Transformation objectives.
• Champion quality‑as‑a‑service: prevent errors and drive continuous improvement in validation processes.
• Demonstrate customer obsession by understanding and improving the end‑to‑end customer experience.

• Experience of Gen AI builds, Agents, and MCP.
• Experience in one of the programming languages like Python, typescript, streamlit, UI design. Intermediate Python is a must.
• Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs)
• Hands-on experience with machine learning and deep learning methods.
• Proficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Strong programming skills in languages such as Python, R, or Java.
• Ability to design and implement complex algorithms for recommendation systems and trend analysis.
• Experience in data integration and real-time data processing.
• Understanding of marketing and campaign testing processes.

• Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
• Experience of all LLM models and their capabilities
• Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
• Prior experience in credit card marketing and in-market testing.
• Excellent communication and presentation skills along with strong interpersonal skills and ability to translate technical concepts into actionable business strategies.
• Bachelor's degree required with 4+ years of experience required.
• Demonstrated initiative and creativity with a proven track record in leading AI tool development and implementation.