{"id":112641,"url":"https://alion.io/job/nanyang-technological-university-platforms-engineer-mlops","title":"Platforms Engineer, MLOps","company":{"id":98222,"name":"Nanyang Technological University","domain":"ntu.edu.sg","url":"https://alion.io/company/nanyang-technological-university","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":197,"ghost_share":0,"stale_share":0.878,"repost_share":0,"time_to_fill_p50_days":44,"computed_at":"2026-10-29T05:49:05Z"}},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":78000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":62},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Helm","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"GitOps","optional":true},{"name":"Grafana","optional":true},{"name":"MLFlow","optional":true},{"name":"Prometheus","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-07-28T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-29T06:51:44Z","board_verified":true,"closed_at":null,"days_open":93,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":93},"description":"AI Singapore (AISG) is Singapore's national programme in artificial intelligence, launched by the National Research Foundation (NRF) to anchor deep national capabilities in AI. Hosted at Nanyang Technological University (NTU), AI Singapore brings together Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies to perform use-inspired research, grow knowledge, create tools, and develop the talent to power Singapore's AI efforts. Since our inception in 2017, we have established a culture of respect, continuous learning, experimentation and curiosity, centred around innovation.\nThe Platforms Engineering Group builds and operates the infrastructure and systems that enable AI practitioners across AISG's programmes to develop, train, and deploy machine learning models at scale. The group comprises four teams: Infrastructure Operations (InfraOps), Data Operations (DataOps), Machine Learning Operations (MLOps), and Experiences (EX).\nAs a Platforms Engineer, MLOps in the Platforms Engineering Group, you will help build and operate modern infrastructure and systems to run large-scale machine learning and deep learning workloads. You will also design, develop, and maintain the AISG platform and tooling stack to enable project teams and partners to build products better and faster. You will serve as a domain expert to nurture AI talents and play a key part in driving the growth of Singapore's AI sector.\nIn this role, you will:\nDesign, build and maintain the platform and tooling stack that empowers AISG engineers to deliver their work effectively.\n\nServe as the liaison between Platforms Engineering and AI project teams, ensuring they have the right ML tooling, infrastructure, and CI/CD processes in place.\n\nDevelop and implement MLOps practices and processes, including CI/CD pipelines for ML models, automated testing, and model monitoring and versioning.\n\nCollaborate with data scientists, data engineers, and other stakeholders to ensure that ML solutions meet AISG's needs and are aligned with operational goals.\n\nBuild and maintain production infrastructure to be resilient, secure, and high-performing.\n\nImplement infrastructure-as-code to automate systems configuration, provisioning, deployment, and monitoring.\n\nDocument and investigate issues arising from our systems when they occur.\n\nDevelop tools and software that improve and automate infrastructure.\n\nPropose and drive technical decisions to completion.\n\nMentor AISG Apprentices and contribute to the MLOps curriculum for the AI Apprenticeship Programme (AIAP).\n\nTo succeed in this role, you should have:\nMust-haves:\nAt least 3 years of experience in an engineering or infrastructure position.\n\nProficiency in at least one programming language such as Python, Go, Rust, or JavaScript/TypeScript (proficiency in Python and TypeScript is highly preferable).\n\nProficiency in administering Linux systems.\n\nProficiency in at least one automation tool (e.g., Ansible, Terraform, Bash).\n\nFamiliarity with container and container orchestration technologies (e.g., Docker, Kubernetes, Helm).\n\nFamiliarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.\n\nA systematic approach to development and engineering, including debugging, DevOps/MLOps practices, and agile development.\n\nExcellent communication skills, including the ability to express complex ideas clearly.\n\nGood-to-haves:\nBasic proficiency in machine learning concepts, including data analysis, predictive modelling, and model evaluation.\n\nExperience with ML experiment tracking tools (e.g., MLflow, Weights & Biases).\n\nExperience with infrastructure-as-code and GitOps workflows.\n\nFamiliarity with observability tools (e.g., Prometheus, Grafana).\n\nExperience mentoring or training others in a technical capacity.\n\nCandidates with relevant professional experience or graduates of the AI Singapore AI Apprenticeship Programme (AIAP) are welcome to apply.\nWe 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.\nWe regret that only shortlisted candidates will be notified.\nHiring Institution: 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