AI/ML Engineer

NationsBenefits India; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

NationsBenefits India is hiring an AI/ML Engineer with 4-6 years of hands-on experience to build and deploy scalable AI solutions for enterprise use cases. You will own end-to-end ML pipelines from training to production deployments and implement observability and performance tracking for AI systems.

Ideal candidates have strong Python/SQL, API development, and ML framework expertise, plus experience with MLOps, CI/CD, Docker, Kubernetes, and MLflow.

Qualifications

• 4-6 years hands-on experience in AI/ML development and deployment.
• 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.

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.

Skills

Machine Learning

Deep Learning

Generative AI

Python

SQL

API development

MLOps

CI/CD pipelines

Docker

Kubernetes

MLflow

Observability

Model drift detection

Azure Cloud

Tools

Docker

Kubernetes

MLflow

Azure

Job description

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.

Experience Required: 4-6 Years

Employment Type: Full Time

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.