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 youre 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 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.
Role: Data Science & Machine Learning - Other
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Education
UG: Any Graduate
PG: Any Postgraduate
