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Salary
≈ $19k – $46k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Middle · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Jul 30, 2026. NationsBenefits scores A on the Alion truth index.

Overview
Company
Impact
Profile match
NationsBenefits is a healthcare fintech company headquartered in Plantation, Florida, that partners with managed care organizations to run supplemental benefits, flex card payment programs and member engagement services for health plan members. Its offerings address social determinants of health, including hearing care, and it serves health plans covering millions of members, with teams in the US, South America and India. Openings include hearing ambassadors and customer service representatives, account managers, and technology roles such as senior engineering managers, software architects, Java technical leads for cards and payments, and lead data engineers.

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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