Beranda Job Details
C
Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Azure AI Engineer - Bali

CLaaS2SaaS
Bali
Salary Estimate
PHP 118.000 – PHP 130.000
Newest
Live Update
5 Juli 2026
Deadline
5 Jul 2027

job description

Join CLaaS2SaaS as an Azure AI Engineer and lead the development of cutting-edge AI solutions on Microsoft Azure. In this role, you will design, build, and deploy scalable AI-powered applications that drive innovation and efficiency. Based in beautiful Bali, you'll collaborate with a global team of experts to solve complex challenges using machine learning, cognitive services, and cloud-native technologies.

This is a unique opportunity to work in a dynamic environment, leveraging Azure's AI capabilities to create impactful solutions. Whether you're optimizing existing systems or pioneering new AI-driven features, your work will shape the future of intelligent applications.

If you're passionate about AI, cloud computing, and pushing technological boundaries, we'd love to hear from you!

Responsibility

  • Design, develop, and deploy AI and machine learning models on Microsoft Azure.
  • Build scalable AI-powered applications using Azure Cognitive Services, Bot Framework, and ML Studio.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.
  • Optimize and fine-tune AI models for performance, accuracy, and scalability.
  • Implement MLOps practices to ensure seamless deployment and monitoring of AI solutions.
  • Stay updated with the latest advancements in Azure AI and cloud technologies.
  • Troubleshoot and resolve technical issues related to AI implementations.
  • Document technical processes and provide training to team members.

Qualifications

  • Bachelor's degree in Computer Science, AI, or a related field.
  • Proven experience in developing AI/ML solutions on Microsoft Azure.
  • Proficiency in Python, C#, or other relevant programming languages.
  • Strong understanding of Azure AI services (Cognitive Services, Machine Learning, etc.).
  • Experience with data processing, model training, and deployment pipelines.
  • Familiarity with cloud infrastructure, DevOps, and CI/CD practices.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.

Required Skills

Azure AI Machine Learning Python C# Azure Cognitive Services MLOps Cloud Computing Data Processing

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