Senior Python Azure AI Engineer

5 - 8 years

12 - 15 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Title:

Experience:

Role Summary

Python and Azure Engineer

Key Responsibilities

  • Design, develop, and maintain

    Python-based microservices

    and

    RESTful APIs

    hosted on

    Azure App Services

    .
  • Architect and implement

    AI/ML models

    for intelligent automation, predictive analytics, and decision support systems.
  • Integrate machine learning pipelines using

    Azure Machine Learning

    ,

    Azure Cognitive Services

    , or other AI frameworks.
  • Implement and maintain

    CI/CD pipelines

    for automated builds, testing, and deployment using

    Azure DevOps

    or similar tools.
  • Collaborate with cross-functional teams including data engineers, DevOps, and solution architects to deliver cloud-native AI solutions.
  • Ensure application

    scalability, performance optimization, and security compliance

    within the Azure ecosystem.
  • Monitor, troubleshoot, and optimize deployed applications and services in production environments.

Required Skills & Qualifications

  • Strong proficiency in Python

    (Flask / FastAPI / Django frameworks).
  • Hands-on experience with Microsoft Azure

    , including:
    • Azure App Services
    • Azure Functions
    • Azure Machine Learning
    • Azure Cognitive Services
    • Azure Kubernetes Service (AKS) or Container Apps (preferred)
  • AI/ML Development

    experience: model training, deployment, and serving.
  • Solid understanding of

    Microservices architecture

    and

    API design principles

    .
  • CI/CD implementation

    experience using Azure DevOps, Jenkins, or GitHub Actions.
  • Working knowledge of

    Docker, Kubernetes, and cloud security best practices

    .
  • Strong problem-solving, debugging, and analytical skills.
  • Excellent communication and collaboration abilities in an agile environment.

Good to Have

  • Experience with

    MLOps

    frameworks and automation pipelines.
  • Exposure to

    data engineering tools

    (Databricks, Synapse, or Data Factory).
  • Knowledge of

    LLM integration or generative AI frameworks

    (OpenAI, Azure OpenAI, LangChain, etc.).

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