AI/ML Engineer

NB Healthcare Technologies; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

NB Healthcare Technologies in Hyderabad, India, is seeking an AI/ML engineer to develop and deploy enterprise AI/ML and Generative AI solutions. You will build end-to-end ML pipelines, from training to production, and implement robust monitoring and performance tracking for deployed models.

The role requires hands-on ML/DL and Generative AI experience, strong Python/SQL and API development skills, and familiarity with MLOps, Docker, Kubernetes, and MLflow. Azure Cloud exposure is a plus.

Qualifications

• Hands-on experience with ML, DL and Generative AI.
• Strong Python/SQL, API development and ML framework knowledge.
• Experience with MLOps, CI/CD, Docker, Kubernetes and MLflow.
• Understanding of observability, monitoring, logging and drift detection.
• Azure Cloud Stack experience is a plus.

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.
• 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

ML Frameworks

MLOps

CI/CD

Docker

Kubernetes

MLflow

Observability

Model Drift Detection

Azure Cloud

Tools

Docker

Kubernetes

MLflow

Azure Cloud

Job description

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.