AI Engineer (Generative AI / MLOps / AI Agents)
NTT Ltd. (company site, opens in a new tab)3–5 yrsHyderabadOn-siteDirect career pageEst. 14–26 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, fine-tune, and deploy Large Language Models and AI agents specifically for insurance domains including claims, underwriting, and actuarial use cases.
- Build and maintain end-to-end MLOps pipelines for model training, deployment, CI/CD, monitoring, and governance using Azure and Databricks platforms.
- Collaborate cross-functionally with data engineering, analytics, and business teams to deliver production-ready AI-powered solutions and mentor junior engineers.
Minimum Requirements
- Bachelor's degree in Computer Science, Data Science, Machine Learning, Software Engineering, or related quantitative field (Master's degree is a plus).
- 3–5 years of professional experience in AI/ML engineering with delivery of production-grade systems.
- Hands-on experience with LLM frameworks (LangChain, LlamaIndex, Semantic Kernel) and implementing MLOps pipelines in cloud environments (Azure preferred).
- Experience in developing AI agents/automation workflows and strong familiarity with financial services, insurance, or regulated industries preferred.
Ideal Candidate Profile
- Experienced mid-level AI Engineer comfortable transitioning from design and architecture to hands-on coding and delivery of AI solutions.
- Domain expertise in insurance or regulated industries with demonstrated ability to implement LLM-powered applications and autonomous AI agents in production.
- Proficient in Azure cloud ecosystem, MLOps practices, and building scalable AI systems integrated with enterprise data and workflow orchestration tools.