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
Skills:
Neural network architectures, Troubleshooting and optimizing AI systems, Deep learning frameworks, Image processing techniques, AI pipelines, Generative artificial intelligence models, Chatbot solutions
Skills:
Python Programming, metrics, evaluation datasets, fine-tuning, LLM and AI fundamentals, Analytical Skills, AI agent architecture, prompt optimization, production ML AI systems, structured testing, benchmarks, model and LLM evaluation, root-cause analysis, model improvement
Skills:
Pytorch, NLP techniques and libraries, Python with TensorFlow, Basic MLOps practices, Azure ML or equivalent cloud ML services
Skills:
data engineering , .NET, production deployment , Java, Scalability, Data Science, Cloud, System Design, Backend Engineering, Integration, Python, ML Engineering, Generative AI, LLMs, Agentic AI, Security, RAG, architecture, AI frameworks, AI application development
Skills:
Modern software engineering practices, semantic search, Generative AI, Embeddings, AI model evaluation, AI application architecture, AI Agents, Prompt optimization, Vector databases, AI safety best practices, Prompt Engineering