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AI/ML Engineer

NationsBenefits, LLC · nationsbenefits.com
HyderabadMid level4–6 yrs
Apply on NationsBenefits, LLC’s site

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The job in short

AI/ML engineering.

PythonSQLAzureKubernetesDockerMachine learningDeep learningGenerative AIRAGMLOpsInsurance

Details

Found
24 d ago · posted 2026-07-30
Location as listed
Hyderabad, IN
Role
Machine Learning / AI Engineer
Source
The company’s own careers site

Full description

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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