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AI/ML Engineer

NationsBenefits
Location
Hyderabad, India
Workplace
Employment
Full Time
Salary
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Posted 1mo ago

Job Title

AI/ML Engineer

Experience

4-6 Years

Location

Hyderabad, India

Employment Type

Full-time

About NationsBenefits

At NationsBenefits, we are leading the transformation of the insurance industry by developing innovative benefits management solutions. We focus on modernizing complex back-office systems to create scalable, secure, and high-performing platforms that streamline operations for our clients. As part of our strategic growth, we are focused on platform modernization — transitioning legacy systems to modern, cloud-native architectures that support the scalability, reliability, and high performance of core backoffice functions in the insurance domain.

Role Summary

We are hiring an AI/ML Engineer with 4-6 years of hands-on experience in building and deploying AI/ML solutions.

The candidate should have strong practical exposure to model development, deployment, monitoring, and scalable AI

systems

Key Responsibilities

  • Develop and deploy AI/ML and Generative AI solutions for enterprise use cases.
  • Build and maintain end-to-end ML pipelines from training to production deployment.
  • Implement monitoring, observability, and performance tracking for AI systems.
  • Work with APIs, vector databases, embeddings, and RAG-based applications.
  • Collaborate with cross-functional teams to optimize scalable AI deployments.

Required Skills & Qualifications

  • Hands-on experience in Machine Learning, Deep Learning, and Generative AI.
  • Strong Python, SQL, API development, and ML framework knowledge.
  • Experience with MLOps, CI/CD pipelines, Docker, Kubernetes, and MLflow.
  • Understanding of observability, monitoring, logging, and model drift detection.
  • Experience with Azure Cloud Stack is a plus

Skills

  • Generative AI
  • Machine Learning
  • Vector Databases
  • Embeddings
  • Retrieval-Augmented Generation
  • Deep Learning
  • Python
  • SQL
  • MLOps
  • Docker
  • Kubernetes
  • MLflow
  • Azure

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