AI/ML Engineer
- Posted a month ago
- Be among the first 20 applicants
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:
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.
- 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
More Info
Key Skills
Generative AI
MLflow
CI CD pipelines
Azure Cloud Stack
model drift detection
observability
About Company