Azure Generative AI and ML Engineer

We are seeking a highly skilled Azure AI / ML Engineer to design, develop, and deploy advanced AI solutions on Microsoft Azure, AWS and soon GCP.

In this role, you will work closely with other AI engineers, software developers, and product stakeholders to build scalable, secure, and high-performance AI systems that drive business outcomes. Success in this position looks like performing rapid proof-of-concepts, moving successful outcomes to an MVP, then delivering production-ready AI solutions that improve decision-making, automate complex tasks, and generate measurable impact for the organization.

This role is critical to advancing our AI strategy and integrating cutting-edge technology into our products and services.

Responsibilities

• Design, develop, and deploy machine learning models using Azure Machine Learning (Azure ML), Azure OpenAI, Gemini and related services
• Build and maintain scalable data pipelines to prepare data for AI / ML models, using tools like Azure Data Factory and MS Fabric
• Collaborate with product teams to translate business requirements into AI / ML solutions that deliver clear value
• Optimize model performance, monitor drift, and manage the lifecycle of AI models in production
• Implement responsible AI practices including fairness, explainability, and compliance with ethical guidelines
• Automate model training, testing, and deployment workflows using Azure DevOps and MLOps practices
• Stay current with advances in Azure AI services, generative AI, LLMs, and emerging trends to recommend innovative solutions
• Document technical designs, workflows, and best practices to enable knowledge sharing across the team
• Follow standard DevOps practices with ADO and Github

Qualifications

Skills :

Education :

Experience :

Certifications (preferred but not required) :

Industry

Employment Type