Back
Entry-level ML/AI trainee role with generalist requirements and moderate brand recognition, creating medium competition.
ML/AI skills and prompt engineering are transferable across industries, though Microsoft Azure focus adds moderate bias.
Graduate trainee with no explicit years or strict certs listed, so shortlisting is likely flexible.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and deploy AI-powered business solutions using Microsoft AI technologies including Azure AI Services, Azure OpenAI, and Microsoft Copilot.
Build AI workflows, prompts, and copilots to automate business processes and integrate solutions with Microsoft Power Platform, Microsoft 365, SharePoint, Teams, and other enterprise applications.
Participate in solution design, testing, deployment, and production support while collaborating with business stakeholders to translate requirements into AI use cases.
Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Electronics, or related field.
Basic understanding of Microsoft Azure and Microsoft AI ecosystem including Azure AI Services, Azure OpenAI, Microsoft Copilot.
Experience with programming languages such as Python (preferred), C#/.NET (good to know), and JavaScript/TypeScript (good to know).
Work Experience Required: Not explicitly mentioned in the JD. Contract is fixed term for 6 months.
Comfortable working with Microsoft Azure AI services and integrating AI solutions with enterprise Microsoft platforms.
Familiar with AI & ML fundamentals including Prompt Engineering, Large Language Models, RAG, and AI agent concepts.
Able to handle end-to-end AI solution lifecycle: design, development, deployment, and support in a business environment with focus on scalable AI and ML applications.