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, and maintainable. MLOps & Cloud Proficiency: Fluent in the essential MLOps toolkit, including Git, Docker, and CI/CD principles. Have experience building data and model pipelines on at least one major
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eye for detail Digital literacy in Microsoft Office and general cloud software These competencies are not compulsory, but any would be advantageous: Domain experience in education / graduate studies B2G
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, Kubernetes, Helm). Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. A systematic approach to development and engineering, including debugging, DevOps/MLOps practices, and agile
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that is clean, modular, and maintainable. MLOps & Cloud Proficiency: Fluent in the essential MLOps toolkit, including Git, Docker, and CI/CD principles. Have experience building data and model pipelines
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of our intelligent operations. As an AI & Systems Engineer, you’ll design and scale the systems that power our AI agents and data-driven workflows — from API integration to cloud architecture and data lake
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a Centre on Security, Mobile Applications and Cryptography that conducts research into mobile device, cloud, and platform security. Our Education. SCIS has more than 100 students enrolled in the Ph.D
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, Kubernetes, Helm). Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. A systematic approach to development and engineering, including debugging, DevOps/MLOps practices, and agile
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programmes while balancing against the effort to implement, deploy, and maintain the suite of web applications on the cloud. Duties and Responsibilities The Full-Stack Developer is expected to: - Feature
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integrity, efficiency, and scalability. Partner with researchers and vendors to design and deliver automated and cloud-based tools that improve research efficiency and usability. Ensure compliance with data
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management methodologies. Knowledge of cloud platforms (e.g., AWS, Azure) is a plus. Fresh graduates with a keen interest in AI-assisted development and project management are welcome to apply. Excellent