Job 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

Requirements

Must-haves

Job Title: AI/ML Engineer
Experience: 4-6 Years
Location: Hyderabad, India
Employment Type: Full-time
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
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.
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.

Nice-to-haves

Experience with Azure Cloud Stack is a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningpythonsqlapici/cddockerkubernetesazure

Platform: breezy
Effort: medium