Applied AI ML Senior Associate

Join our Card Product Configuration & Support team as a Senior Associate, where you'll leverage Generative AI (GenAI) to transform and automate processes within our Credit Card business. This role offers significant career growth and the opportunity to work on strategic, high-impact projects that drive efficiency and innovation.

We are seeking a highly skilled Senior Associate to join our Card Product Configuration & Support team. This role is focused on developing and implementing Generative AI (GenAI) solutions to enhance automation, decision-making processes, and reporting capabilities. You will work on strategic projects that drive transformation and efficiency across our Credit Card business, leveraging GenAI to deliver innovative solutions.

Key Responsibilities:

• Develop and implement GenAI solutions using Python to enhance automation and decision-making processes within the Card Product Configuration & Support team.
• 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 and active learning.
• 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 and data science, and identify emerging techniques to drive ongoing enhancement.
• Ensure compliance with data privacy and security standards.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree in a relevant quantitative field and 3+ years of data analytics experience, or advanced degree and 2+ years of experience.
• Advanced Python programming skills with experience writing production-quality code.
• Strong knowledge of language models, prompt engineering, model fine-tuning, and domain adaptation.
• Familiarity with GenAI frameworks and tools.
• Experience with deep learning frameworks such as TensorFlow and PyTorch.
• Experience with modern analytics tools (e.g., Tableau, Alteryx, UiPath, PowerApps) and data querying languages (e.g., SQL) is preferred.
• 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.
• Experience in the financial services industry is a plus.