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AI/ ML Engineering

0 years

3 - 5 Lacs

hyderabad telangana india

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

ml engineering design ai cutting mlflow docker kubernetes automate azure devops monitoring authentication authorization latency efficiency software architecture python programming tooling model versioning fastapi retrieval

Work Mode

On-site

Job Type

Full Time

Job Description

Role:

AI/ ML EngineeringExperience: 3 to 5 yrsWork location: HyderabadInterview mode: VirtualNotice 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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