job description
Join CLaaS2SaaS as a Senior Azure AI Engineer in beautiful Bali 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 business growth. Collaborate with cross-functional teams to integrate machine learning, natural language processing, and computer vision models into cloud-based systems.
Leverage Azure AI services such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service to create intelligent, data-driven solutions. Your expertise will shape the future of AI in our organization, ensuring high performance, security, and scalability.
This is a unique opportunity to work in a dynamic, forward-thinking environment while enjoying the vibrant culture and work-life balance of Bali.
Responsibility
- Design, develop, and deploy AI/ML models on Microsoft Azure using tools like Azure ML Studio, Python, and PyTorch/TensorFlow.
- Implement and optimize Azure Cognitive Services (e.g., Vision, Language, Speech) for real-world applications.
- Collaborate with data scientists and engineers to build scalable AI pipelines and data processing workflows.
- Ensure high availability, security, and performance of AI solutions in cloud environments.
- Automate model training, deployment, and monitoring using Azure DevOps and MLOps best practices.
- Troubleshoot and resolve technical issues related to AI model performance and cloud infrastructure.
- Stay updated with the latest advancements in Azure AI and recommend innovative solutions to business challenges.
- Document technical processes, architectures, and best practices for team knowledge sharing.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
- Minimum 3+ years of hands-on experience in AI/ML development with a focus on Microsoft Azure.
- Proficiency in Python, C#, or R and experience with ML frameworks like PyTorch, TensorFlow, or scikit-learn.
- Strong knowledge of Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Bot Framework).
- Experience with cloud infrastructure (Azure Functions, AKS, Azure Data Lake, Synapse Analytics).
- Familiarity with MLOps, CI/CD pipelines, and version control systems (e.g., Git).
- Excellent problem-solving skills and the ability to work in an Agile/Scrum environment.
- Certifications such as Microsoft Certified: Azure AI Engineer Associate are a plus.