Fraud Ops Gen AI Analyst

Job description
You will design, develop, and deploy generative models for various operational applications.
Responsibilities
• Design, develop, and deploy generative models such as GPT, GAN, and VAEs.
• Customize and fine-tune existing or design new Retrieval Augmented Generation (RAG) frameworks.
• Collaborate with cross-functional teams to translate business requirements into AI solutions.
• Conduct research to advance state-of-the-art in generative modeling and maintain awareness of new advancements.
• Optimize and fine-tune models for production performance and scalability.
Required Skills
• 8+ years of experience in Machine Learning and Deep Learning, focused on generative models.
• Proven track record building and deploying generative models in production, specifically using RAG frameworks.
• Proficiency in Python.
• Experience with Machine Learning and Deep Learning concepts.
• Working knowledge of TensorFlow and PyTorch.
• Experience with Natural Language Processing and Generative Modeling.
• Familiarity with RAG architectures.
• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.