
51 - 200 employees
📚 Education
🏢 Enterprise
🤖 Artificial Intelligence
Education • Enterprise • Artificial Intelligence
eduCLaaS is a digital skills accelerator aimed at bridging the digital skills gap for a productive work life. It delivers Competency Learning as a Service (CLaaS), providing on-demand, competency-based education through a blended-learning approach. The platform focuses on cultivating essential digital competencies and job-specific skills using a 70:20:10 learning model that integrates on-the-job training and real-life projects to enhance the employability of both experienced and inexperienced individuals. eduCLaaS collaborates with various stakeholders across sectors to promote lifelong learning and digital transformation in the workforce.
🕒 May 25
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51 - 200 employees
📚 Education
🏢 Enterprise
🤖 Artificial Intelligence
Education • Enterprise • Artificial Intelligence
eduCLaaS is a digital skills accelerator aimed at bridging the digital skills gap for a productive work life. It delivers Competency Learning as a Service (CLaaS), providing on-demand, competency-based education through a blended-learning approach. The platform focuses on cultivating essential digital competencies and job-specific skills using a 70:20:10 learning model that integrates on-the-job training and real-life projects to enhance the employability of both experienced and inexperienced individuals. eduCLaaS collaborates with various stakeholders across sectors to promote lifelong learning and digital transformation in the workforce.
• Build AI applications: chatbots, knowledge assistants, and copilots • Implement multi-LLM orchestration across Azure OpenAI, OpenAI, and other providers • Work with data engineers to leverage datasets for RAG workflows • Integrate AI solutions into business processes using Power Platform • Deploy AI apps on Azure (Functions, App Services, AKS, VMs) • Implement CI/CD and MLOps pipelines using Azure DevOps or GitHub Actions • Monitor performance, reliability, and cost using Azure Monitor and Application Insights • Maintain technical documentation and reusable assets • Stay current with Azure AI, Copilot, and related technologies
• Bachelor’s or Master’s in Computer Science, AI/ML, or related field • 3–6 years of experience in AI, software development, or Azure applications • Microsoft certifications: AI-102, AZ-204, DP-100, AZ-400 • Hands-on experience with: Azure AI Services and Azure OpenAI • Copilot Studio and Power Platform • Python or C# for AI/LLM development • Deploying applications on Azure • Experience with RAG pipelines, vector search, or knowledge integration • Understanding of security, governance, and compliance in Azure • Nice to Have • Experience integrating AI into enterprise systems (CRM, ERP, LMS) • Prompt engineering, fine-tuning, and evaluation of LLMs • Infrastructure-as-code: ARM, Bicep, or Terraform • Agile/Scrum experience
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options
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