Key

Skills:
Azure, Python, Azure AI, Tensorflow, Pytorch, Docker, Kubernetes Roles and

Responsibilities:

- Design and implement AI and machine learning solutions using Microsoft Azure services.
- Develop production-grade machine learning workflows, model endpoints, and AI-powered applications using Python.
- Build and manage model training, validation, deployment, and monitoring workflows in Azure Machine Learning.
- Develop generative AI solutions and integrations using Azure OpenAI Service.
- Collaborate with application, data, and platform engineering teams to integrate AI capabilities into enterprise systems. Skills Required:
- 6-10 years of professional experience in cloud engineering, machine learning, AI engineering, or related software development roles.




- Robust hands-on experience with Microsoft Azure and cloud-based AI solution development.
- Advanced Python programming skills for machine learning, data processing, and service development.
- Practical experience with Azure Machine Learning, including model training, orchestration, deployment, and lifecycle management.
- Experience building applications and integrations with Azure OpenAI Service. Good to Have:
- Experience with PyTorch, TensorFlow, Docker, or Kubernetes.

Education:
B.
Tech or M.
Tech in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related discipline.

📌 Azure AI Engineer (Bengaluru)
🏢 Careernet
📍 Bengaluru