Deskripsi Pekerjaan
Are you an expert in cloud-based artificial intelligence? CLaaS2SaaS is looking for a talented Azure AI Engineer to join our expanding team in Jakarta. In this role, you will be at the forefront of innovation, designing, architecting, and deploying sophisticated AI-powered applications that leverage the full suite of Microsoft Azure services. You will work closely with cross-functional teams to translate complex business challenges into scalable, high-performance AI solutions that drive meaningful impact.
The ideal candidate is passionate about machine learning, natural language processing, and cloud architecture. You will be responsible for the end-to-end development lifecycle, from data ingestion and model training to deployment and continuous monitoring. If you thrive in a fast-paced environment and are committed to building the future of SaaS platforms using cutting-edge Azure technology, we want to hear from you.
Tanggung Jawab
- Design and implement scalable AI solutions using Azure AI Services (Cognitive Services, Azure OpenAI, Azure Machine Learning).
- Build and maintain robust machine learning pipelines to automate model training and deployment.
- Collaborate with data engineers to manage data workflows and ensure high-quality data input for AI models.
- Optimize AI model performance through fine-tuning, quantization, and architectural improvements.
- Implement MLOps best practices to ensure continuous integration and deployment (CI/CD) of AI models.
- Monitor and troubleshoot production AI systems to ensure high availability and reliability.
- Stay current with emerging AI technologies and contribute to the internal knowledge-sharing ecosystem.
Kualifikasi
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum 3+ years of professional experience in software engineering, with a specific focus on AI/ML.
- Hands-on experience with Microsoft Azure AI stack, including Azure Machine Learning and Cognitive Services.
- Strong proficiency in Python and familiarity with deep learning frameworks such as TensorFlow or PyTorch.
- Proven ability to develop RESTful APIs to integrate AI models into production applications.
- Understanding of cloud architecture, security, and containerization (Docker, Kubernetes).
- Strong problem-solving skills and the ability to articulate technical concepts to non-technical stakeholders.
- Excellent communication skills in English and Bahasa Indonesia.