Senior Python Azure AI Engineer

22 hours ago

Bengaluru, Karnataka, India Ascendion Engineering Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title: Senior Python Azure AI Engineer

Experience: 5 10 Years

Location: Bangalore / Hyderabad / Chennai

Employment Type: Full-time

Role Summary

We are seeking an experienced Python and Azure Engineer with strong expertise in AI/ML solutioning, microservices architecture, and cloud-native development. The ideal candidate will design, build, and deploy scalable AI-driven applications leveraging Azure services, ensuring seamless CI/CD integration and enterprise-grade REST API delivery.

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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