Description

You will design and deploy AI/ML solutions on Microsoft Azure, owning the full lifecycle from pipeline development to production operations.

This role is on-site.

Responsibilities

• Architect cloud-native AI/ML systems using Microsoft Azure services.
• Deploy and operate ML pipelines via Azure Machine Learning.
• Implement MLOps practices, model lifecycle management, and CI/CD for AI systems.
• Automate configuration and infrastructure using Ansible.
• Manage containerization and orchestration with Docker and Kubernetes.

Required Skills

• 14+ years of experience in software engineering or architecture.
• Strong proficiency in Python and modern software engineering practices.
• Deep expertise with Microsoft Azure and its AI/ML services.
• Hands-on experience with MLOps and CI/CD for AI systems.
• Proficiency in automation tools, specifically Ansible.
• Experience with containerization technologies: Docker and Kubernetes.

Preferred Skills

• Experience with Microsoft Foundry.
• Experience implementing or operating agentic AI systems.
• Familiarity with Databricks, Spark, and Azure Data Factory.

Key Skills

Education

Any Graduate