Your browser does not support javascript! Please enable it, otherwise web will not work for you.

AI Implementation Engineer @ Zeta

Home > Data Science & Machine Learning

 AI Implementation Engineer

Job Description

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.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time

Contact Details:

Company: Zeta Inc.
Location(s): Hyderabad

+ View Contactajax loader


Keyskills:   Computer vision Automation Backend github Front end Banking Fraud detection Monitoring Python Core banking

 Job seems aged, it may have been expired!
 Fraud Alert to job seekers!

₹ Not Disclosed

Similar positions

Generative AI Engineer

  • Einfochips
  • 3 - 8 years
  • Indore
  • 8 days ago
₹ Not Disclosed

Walk In - Aiml / Genai / Mlops/data Science - Hyderabad Gar

  • Capgemini
  • 4 - 9 years
  • Hyderabad
  • 9 days ago
₹ Not Disclosed

AI Engineer L1

  • Wipro
  • 1 - 5 years
  • Hyderabad
  • 9 days ago
₹ Not Disclosed

Walk In - Aiml / Genai / Mlops/data Science - Bengaluru

  • Capgemini
  • 4 - 9 years
  • Bengaluru
  • 10 days ago
₹ Not Disclosed

Zeta

Zetais in the business of providing a full-stack, cloud-native, API-first neo-banking platform including a digital core and a payment engine for issuance of credit, debit, and prepaid products that enable legacy banks and new-age fintech institutions to launch modern retail and corporate fintech pro...