AI/ML Engineer
Hyderabad, IN
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s listing: On-site
From the employer’s posting- Employment
Full-time — employment source
Location: Hyderabad, India Employment Type: Full-time About NationsBenefits:
Employment type in the employer’s listing: Full-Time
From the employer’s posting
What you’ll work on
Full postingDevelop 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
From the employer’s posting
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.
Tools in this posting
- Python
- SQL
- Azure
- Docker
- Kubernetes
- MLflow
Source — Tool mentions in context
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
About NationsBenefits
At NationsBenefits, we are leading the transformation of the insurance industry by developing innovative benefits management solutions.
In the employer’s words · Read in context
Posting record
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- Live
- First seen by us
- Jul 30, 2026 · 84 days ago
- Recorded sightings
- 201
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on nationsbenefits.breezy.hr. The employer’s form will show what is required.
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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
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hyderabad, IN
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- Work authorization
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