164 coding-"https:" "https:" "https:" "https:" "https:" "https:" "L2CM" uni jobs at Nanyang Technological University
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of the programme. Ensuring that NTU’s rules, practices and codes of conducts on intellectual property rights and academic integrity are strictly adhered to. Any other task that may be necessary for the successful
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-tuning using modern frameworks. Software Engineering Excellence: Demonstrates expert-level Python skills and a strong commitment to Software Engineering best practices, writing code that is clean, modular
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, writing code 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
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empirical and quantitative skills. 3. Has good coding skills. 4. Has good communication skills. 5. Visualization skills an added advantage. We regret that only shortlisted candidates will be notified. Hiring
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Engineering best practices, writing code that is clean, modular, and maintainable. MLOps & Cloud Proficiency: Fluent in the essential MLOps toolkit, including Git, Docker, and CI/CD principles. Have experience
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of relevant research experiences or equivalent Prior experience in working with embedded systems is required. Prior experience with coding and evaluation of cryptography algorithms, specifically Post-Quantum
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on implementation/experimentation, maintain best practices for coding, safety evaluation, and data handling. Expectations: high research ownership, strong experimental rigor, proactive problem-solving, clear
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optimization Collaborate with product, research, and business teams to translate complex requirements into scalable solutions Mentor and technically guide engineers, conduct code reviews, and set engineering
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. Familiarity with industrial products’ standards and certifications, grid connection codes of different countries, etc. Good written and oral communication skills Proficiency in power electronics circuits, field
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categorical methods for describing and reasoning about modern AI systems. Formulate and verify mathematical properties of AI systems using rigorous, algebraic and code-based methods. Apply the developed