Description

You will design and implement agentic AI and machine learning solutions using cloud-native architectures.

Responsibilities

• Identify and implement AI and machine learning solutions to improve workflows and decision making.
• Design and build cloud-native AI architectures utilizing Microsoft Azure services.
• Transform AI prototypes into production-ready, scalable solutions with Data Scientists.
• Build, deploy, and operate enterprise-scale machine learning pipelines, ensuring performance and security.
• Orchestrate infrastructure for resilient AI workloads using infrastructure as code.

Required Skills

• 5+ years of experience in software, AI, or ML engineering roles.
• Strong experience with Microsoft Azure, including AI/ML services.
• Hands-on experience deploying and operating ML pipelines using Azure Machine Learning.
• Proficiency in Python and modern software engineering practices.
• Solid understanding of MLOps, model lifecycle management, and CI/CD for AI systems.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Experience with automation and configuration management, including Ansible.
• Proven experience delivering production AI or ML solutions in a cloud environment.

Preferred Skills

• Experience with Microsoft Foundry.
• Experience implementing or operating agentic AI systems.

Key Skills

Education

Any Gradute