AI Singapore (AISG) is a national initiative driven by the Ministry of Digital Development and Information (MDDI), the Infocomm Media Development Authority (IMDA), and the National Research Foundation, Singapore (NRF). AISG brings together Singapore-based research institutions and the broader ecosystem of AI start-ups and companies to support impactful research, develop talent and power Singapore's AI efforts. For more information on AI Singapore, please visit https://www.aisingapore.org. This position will be hosted at the Nanyang Technological University (NTU) under VP (Artificial Intelligence & Digital Economy)’s office and we welcome you to join our community. In this role, you will: Design, build and maintain the platform and tooling stack that empowers AISG engineers to deliver their work effectively. Serve as the liaison between Platforms Engineering and AI project teams, ensuring they have the right ML tooling, infrastructure, and CI/CD processes in place. Develop and implement MLOps practices and processes, including CI/CD pipelines for ML models, automated testing, and model monitoring and versioning. Collaborate with data scientists, data engineers, and other stakeholders to ensure that ML solutions meet AISG's needs and are aligned with operational goals. Build and maintain production infrastructure to be resilient, secure, and high-performing. Implement infrastructure-as-code to automate systems configuration, provisioning, deployment, and monitoring. Document and investigate issues arising from our systems when they occur. Develop tools and software that improve and automate infrastructure. Propose and drive technical decisions to completion. Mentor AISG Apprentices and contribute to the MLOps curriculum for the AI Apprenticeship Programme (AIAP). To succeed in this role, you should have: Must-haves: At least 3 years of experience in an engineering or infrastructure position. Proficiency in at least one programming language such as Python, Go, Rust, or JavaScript/TypeScript (proficiency in Python and TypeScript is highly preferable). Proficiency in administering Linux systems. Proficiency in at least one automation tool (e.g., Ansible, Terraform, Bash). Familiarity with container and container orchestration technologies (e.g., Docker, 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 development. Excellent communication skills, including the ability to express complex ideas clearly. Good-to-haves: Basic proficiency in machine learning concepts, including data analysis, predictive modelling, and model evaluation. Experience with ML experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with infrastructure-as-code and GitOps workflows. Familiarity with observability tools (e.g., Prometheus, Grafana). Experience mentoring or training others in a technical capacity. Candidates with relevant professional experience or graduates of the AI Singapore AI Apprenticeship Programme (AIAP) are welcome to apply. We offer a dynamic environment at the forefront of Singapore's national AI efforts, opportunities to work with cutting-edge AI/ML infrastructure, and a culture that values continuous learning and professional development. We regret that only shortlisted candidates will be notified. Hiring Institution: NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive

Platforms Engineer, MLOps.

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