AI/ ML Engineering
2 weeks ago
Job Description Role: AI/ ML Engineering Experience: 3 to 5 yrs Work location: Hyderabad Interview mode: Virtual Notice period: Immediate Joiner Key Responsibilities - Design and implement RAG pipelines and AI agentic systems using cutting-edge LLM frameworks. - Fine-tune open-source LLMs and develop narrow, domain-specific models. - Build and maintain ML pipelines using MLFlow and ensure reproducibility, auditability, and version control. - Collaborate with cross-functional teams to deploy ML systems into scalable, secure, and production-ready environments. - Containerize and serve models using Docker, Kubernetes, and FastAPI. - Automate CI/CD workflows using Azure DevOps, with integrated monitoring and alerts. - Integrate authentication and authorization flows using Azure AD and Microsoft Graph API. - Optimize deployed models for latency, cost-efficiency, and operational maintainability. Required Skills & Experience - Strong foundation in Computer Science, software architecture, and distributed systems. - Proficiency in Python, including both object-oriented and functional programming paradigms. - Hands-on experience with open-source LLMs, embedding models, and vector databases. - Practical implementation of RAG pipelines and LLM agentic systems. - Strong working knowledge of MLOps tooling (e.g., MLFlow), model versioning, and reproducible experiments. - Experience deploying ML systems using Docker, Kubernetes, and FastAPI or equivalent frameworks. - Proven experience working in Azure cloud ecosystem: - Azure DevOps for build/release automation. - Azure GraphAPI for accessing organizational data. - Secure identity flows using Azure AD. Skills:- Open-source LLMs, Retrieval Augmented Generation (RAG), MLOps, Windows Azure and Python
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