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Open nowPosted 65 days ago

AI/ML Engineer

NationsBenefits249 open roles

Where
Hyderabad, India
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Your applicationOpen nowAI/ML EngineerNationsBenefits · Hyderabad, India

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Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 65 days ago

The posting

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

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