Software Development Engineer II
zeta
Job Summary
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.
Must Have
- 1-5 years building AI Tools
- Experience with Copilot/PowerApps
- Strong AI/ML experience
- Proficiency in Java/Python/TensorFlow/PyTorch
- Experience with ML deployment
- Knowledge of MLOps
- Ability to integrate AI solutions
- GitHub/repo links on resume
Good to Have
- Experience with large datasets
- Understanding of Generative AI/NLP/CV
Job Description
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.