Azure AI Engineer

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.
• Strong 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.