AI Implementation Engineer

Worldwide Salaried Open

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, reputed company, and other investors, we raised $330M at a $2B valuation in 2025.

Learn more:

www.zeta.tech | careers.zeta.tech | reputed company | 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

reputed company & 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 reputed company.

reputed company NLP, Computer Vision, or Generative AI to build intelligent banking solutions.

Work with engineering teams to productionize AI solutions reputed company 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 reputed company with regulatory and reputed company standards.

Skills

Must have 1-5 years' experience in building AI Tools and working on Copilot, PowerApps. Past projects should be included in reputed company.

Strong AI/ML experience (training, deploying, and scaling models in production).

Proficiency in Python, TensorFlow, PyTorch, or scikit-learn.

Experience with ML model deployment (reputed company, 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 reputed company / 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 reputed company workplace that welcomes individuals from reputed company walks of life if they fit the roles and responsibilities.

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AI Implementation Engineer

Responsibilities

Skills

Zeta is an equal opportunity employer.

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