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—including Retrieval-Augmented Generation (RAG) and advanced model validation techniques—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.
• 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.

  Required Qualifications, Capabilities, and Skills

• 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.
• Familiarity with modern analytics tools (e.g., Tableau, Alteryx, UiPath, PowerApps) and data querying languages (e.g., SQL) is preferred.
• 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.
• Experience in the financial services industry is a plus.