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on Rails. Strong knowledge of web application architecture, database management (SQL/NoSQL), and API development (RESTful or GraphQL). Strong knowledge of cloud platforms such as AWS, Google Cloud, Azure
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, or equivalent PPLs. • Strong track record of publications in peer-reviewed journals commensurate with career stage. • Proficiency in Python and/or R; familiarity with high-performance and cloud computing
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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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, 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