Software Development Engineer II

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.