About Zeta

Zeta is a Next-Gen Banking Tech company that empowers banks and fintechs to launch innovative, AI-powered banking solutions. Founded by Bhavin Turakhia and Ramki Gaddipati in 2015, we are redefining banking infrastructure with a modern, cloud-native stack.

Our flagship processing platform – Zeta Tachyon – integrates issuance, processing, lending, fraud & risk, and core banking into a single, API-first ecosystem. With 20M+ cards issued globally , we work with the world’s largest banks and fintechs to transform customer experiences.

Zeta has over 1,700+ employees across the US, EMEA, and Asia, with 70%+ roles in R&D . Backed by SoftBank, Mastercard, and other investors , we raised $330M at a $2B valuation in 2025.

Learn more : www.zeta.tech | careers.zeta.tech | LinkedIn | Twitter

About Role

As an AI Implementation Engineer, you will be responsible forintegrating, optimizing, and deploying AI/ML solutions that enhance banking intelligence, automation, and fraud detection. Whether you're working on backend systems, frontend AI-powered interfaces, or full-stack AI implementations, your contributions will help shape the future of AI-driven banking.

Responsibilities

• Develop & deploy AI/ML models for banking, payments, and fraud detection.
• Integrate AI-powered decision-making into real-time banking systems.
• Optimize AI pipelines for scale, latency, and security.
• Leverage NLP, Computer Vision, or Generative AI to build intelligent banking solutions.
• Work with engineering teams to productionize AI solutions within Zeta’s platform.
• Use MLOps best practices to ensure seamless AI model deployment, monitoring, and scaling.
• Mine TBs of transaction data to generate insights and improve predictive capabilities.
• Experiment with AI-driven user experiences (chatbots, voice assistants, Copilot-like interfaces).
• Ensure AI models comply with regulatory and security standards.
  
  

Skills

• Must have 1-5 years' experience in building AI Tools and working on Copilot, PowerApps. Past projects should be included in github.
• Strong AI/ML experience (training, deploying, and scaling models in production).
• Proficiency in Java, Springboot, Python, TensorFlow, PyTorch, or scikit-learn.
• Experience with ML model deployment (Docker, Kubernetes, MLflow, or similar).
• Knowledge of MLOps pipelines, versioning, and monitoring.
• Experience working with large datasets, feature engineering, and model tuning.
• Understanding of Generative AI, NLP, or Computer Vision.
• Ability to integrate AI solutions into backend or frontend applications.
• You must have your github / repo links on your resume to showcase your past projects.
  
  

Zeta is an equal opportunity employer.

• At Zeta, we are committed to equal employment opportunities regardless of job history, disability, gender identity, religion, race, marital/parental status, or another special status. We are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the roles and responsibilities.