Zeta is a Next-Gen Banking Tech company empowering banks and fintechs with AI-powered solutions. As an AI Implementation Engineer, you will integrate, optimize, and deploy AI/ML models for banking intelligence, automation, and fraud detection. This role involves working on backend, frontend, or full-stack AI implementations to shape AI-driven banking. Responsibilities include developing and deploying AI/ML models for banking and fraud detection, integrating AI into real-time systems, optimizing AI pipelines, and leveraging NLP, Computer Vision, or Generative AI. You will also productionize AI solutions, implement MLOps practices, analyze transaction data, and experiment with AI-driven user experiences, ensuring compliance with security and regulatory standards. You must have at least 1-5 years of experience building AI Tools and working on projects like Copilot or PowerApps, with past projects showcased on GitHub. Proficiency in Java, Springboot, Python, TensorFlow, PyTorch, or scikit-learn is required, along with experience in ML model deployment and MLOps pipelines.