Description

Design and operate scalable AI/ML solutions on Microsoft Azure, owning the end-to-end lifecycle from architecture to deployment.

This role is on-site.

Responsibilities

• Architect cloud-native AI/ML systems using Microsoft Azure services and modern software engineering practices.
• Deploy and operate ML pipelines via Azure Machine Learning, ensuring robust model lifecycle management and MLOps integration.
• Implement CI/CD workflows for AI systems and automate infrastructure using Ansible.
• Containerize applications and orchestrate workloads using Docker and Kubernetes.
• Enforce security, identity, and access control standards within enterprise cloud environments.

Required Skills

• 14+ years of experience in software engineering or architecture.
• Strong proficiency in Python and modern software development methodologies.
• Hands-on experience with Microsoft Azure AI/ML services and cloud-native architectures.
• Deep understanding of MLOps, including model deployment, monitoring, and CI/CD for AI.
• Experience with automation and configuration management tools, specifically Ansible.
• Proficiency in containerization technologies (Docker) and orchestration platforms (Kubernetes).
• Solid working knowledge of enterprise security, identity, and access control.

Preferred Skills

• Experience with Microsoft Foundry or implementing agentic AI systems.
• Familiarity with data engineering tools such as Databricks, Spark, and Azure Data Factory.
• Experience integrating cognitive services, computer vision, or unstructured data processing.

Key Skills

Education

Any Graduate