Azure AI Engineer

Job Description for Java Fullstack Developer:

Experience - 10+ years

Location - Melbourne (Hybrid)

Notice Period - 3 Weeks

Visa Type: Australian Citizens/PR/485/482/Dependant Visas

Contract Duration: 1 Year and Extendable

Technical Skills:

• Tertiary qualifications in Information Technology - Computer Science / Software Engineering or equivalent 
• Current Microsoft certifications in relevant Microsoft AI, Dynamics 365 applications and Power Platform advantageous. 
• Certifications such as Microsoft Certified: Azure AI Engineer Associate, or equivalent, are highly desirable.
• Strong background in developing and implementing artificial intelligence solutions using OpenAI, Azure AI Studio, and other relevant tools.
• Proven track record of leading and delivering successful AI projects, from conception to deployment, preferably in a consulting environment.
• Strong programming skills in C#, .NET Core, and Python scripting, with experience in developing and deploying AI models on Azure.
• Excellent analytical and problem-solving skills, with the ability to translate complex business requirements into scalable and robust technical solutions.
• Excellent communication and collaboration skills, with a knack for working in fast-paced, dynamic environments.

Role Responsibilities:

• Build and maintain a robust AI platform, helping establish the underlying AI Landing Zone and core infrastructure, including APIM gateway routing, security, logging, and usage tracking.
• Utilize AI tools and frameworks to build and support robust and scalable AI solutions.
• Deploy AI models to production environments, ensuring scalability, reliability, and performance.
• Integrate AI solutions into existing applications and workflows.
• Collaborate with cross-functional teams, including software developers, data scientists, and business analysts, to integrate AI solutions seamlessly.
• Design end-to-end AI solutions using Cloud Technology Platforms.
• Document the AI development process, including model architecture, solution architecture, and deployment procedures.
• Provide engineering support for AI-powered testing solutions, including the use of Mistral or other tools for automated test case generation.
• Establish AI synthetic testing (for model drift, correctness, etc.).
• Provide engineering support for GitHub Co-Pilot across 350 engineers.
• Develop and implement machine learning models and algorithms for various AI applications.
• Participate in large-scale implementation of AI platforms and services from inception through to production, maintaining quality documentation and procedures for the ongoing support of the platform.