
Constructor · Singapore
OUR MISSION Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. Wit...
Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x
efficiency.
With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research
addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students.
Contributes hands-on across the applied-research cycle behind Constructor’s education products — surveying recent work, designing
and running experiments, analysing results, and prototyping capabilities that apply AI and quantum through an education lens to
improve how people teach, learn, and do research. Works closely with research scientists, engineering, and product teams, and
helps turn early-stage ideas into working features that feed the AI software development project. Requires 3+ years of research
experience — ideally in education technology or applied AI — with a track record of delivering solid, hands-on output in a
fast-paced, multidisciplinary setting.
Do the hands-on experimental work that turns promising ideas into working proof-of-concept code — quickly, and backed by evidence
the product and engineering teams can build on.
research experience. Shipped research prototypes, open-source contributions, or publications all count.
Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board
committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based
on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other
protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic
backgrounds. We encourage people belonging to underrepresented groups to apply.
OUR MISSION Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. PLEASE SEND YOUR RESUME IN ENGLISH ONLY. BRIEF JOB DESCRIPTION: Owns the end-to-end data analytics lifecycle, from defining measurement frameworks and surfacing insights to supporting product and model decisions. The role works closely with engineering, product, and ML teams, builds and maintains data pipelines and dashboards, and helps shape the analytical foundation of the AI software development project. Requires 3+ years of data analytics experience, with a track record of influencing product outcomes in a fast-moving technical environment. MISSION: Turn raw product, behavioural, and model data into clear, trustworthy insight that helps the team make better decisions, faster. EDUCATION: * Bachelor’s degree or higher in Statistics, Computer Science, Engineering, Economics, or a related quantitative field — or equivalent practical experience. RESPONSIBILITIES: * Define measurement frameworks and metrics with product and engineering teams. * Build and maintain data pipelines, dashboards, and reports. * Analyse product, behavioural, and model data to surface actionable insights. * Support experiment design and A/B test analysis. * Ensure data quality and consistency across sources. QUALIFICATIONS & EXPERIENCE: * 3+ years’ experience in data analytics or a similar quantitative role. * Strong SQL and proficiency in Python or R for analysis. * Experience building dashboards (e.g. Tableau, Power BI, Looker, or similar). * Solid grasp of statistics and experiment design. * Clear communication of findings to technical and non-technical audiences. NICE TO HAVE (NOT OBLIGATORY): * Experience with cloud data warehouses (BigQuery, Snowflake, Redshift). * Familiarity with ML workflows and model evaluation metrics. * Familiarity with GitLab for versioning analysis code and pipelines. * Exposure to EdTech or AI products. WHAT WE OFFER * 💻 Choice of work equipment (e.g., laptop, monitor, etc.) * 🇬🇧 English classes (iTalki – $130 monthly) * ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00 CET or EET) * 👶 Newborn bonus (€500 per child) * 🧠 Patent remuneration * 🌴 Paid leave * 🧑💻 Remote work in locations without our offices * Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.
OUR MISSION Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. PLEASE SEND YOUR RESUME IN ENGLISH ONLY. BRIEF JOB DESCRIPTION: Builds and maintains the infrastructure and tooling that keeps machine learning systems reliable in production — from designing CI/CD pipelines and model deployment workflows to monitoring performance and managing model lifecycle at scale. The role works closely with ML, backend, and platform teams, contributes to automation frameworks and observability standards, and helps ensure AI models move seamlessly from experimentation to production. Requires 5+ years of MLOps or DevOps engineering experience, with a track record of operating robust ML infrastructure in production-grade environments. MISSION: Make the path from model experiment to reliable production as fast, automated, and observable as possible. EDUCATION: * Bachelor’s degree or higher in Computer Science, Engineering, or a related field — or equivalent practical experience. DUTIES AND RESPONSIBILITIES: * Design and maintain CI/CD pipelines for ML models and services. * Build and operate model deployment, serving, and rollback workflows. * Implement monitoring, observability, and alerting for models in production. * Manage the model lifecycle with MLflow: experiment tracking, versioning, registries, and reproducibility. * Automate infrastructure and partner with ML and platform teams on standards. QUALIFICATIONS & EXPERIENCE: * 5+ years of MLOps or DevOps engineering experience. * Strong with containers and orchestration (Docker, Kubernetes). * Experience with CI/CD (GitLab CI) and infrastructure-as-code (Terraform or similar). * Hands-on with a major cloud platform (Azure, AWS, or GCP). * Hands-on experience with MLflow for experiment tracking and model registry. * Familiarity with ML frameworks (PyTorch), workflow orchestration (Kubeflow or similar), and monitoring stacks. NICE TO HAVE (NOT OBLIGATORY): * Experience serving LLMs or large models in production. * Knowledge of feature stores and data pipeline tooling. * Cost and latency optimisation for model serving. WHAT WE OFFER * 💻 Choice of work equipment (e.g., laptop, monitor, etc.) * 🇬🇧 English classes (iTalki – $130 monthly) * ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00 CET or EET) * 👶 Newborn bonus (€500 per child) * 🧠 Patent remuneration * 🌴 Paid leave * 🧑💻 Remote work in locations without our offices * Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.
OUR MISSION Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. PLEASE SEND YOUR RESUME IN ENGLISH ONLY. The Technical Automation QA (Playwright / TypeScript) at Constructor Tech will play a critical role in designing, implementing, and evolving our automation strategy and frameworks with a focus on Playwright and TypeScript. This role combines deep technical expertise with a passion for efficiency, reliability, and innovation in testing — including the adoption of AI-driven testing and Modular Composable Platforms (MCPs). You will collaborate closely with development, DevOps, and QA teams to ensure automation excellence across all layers of the delivery process. Key Responsibilities * Design, build, and maintain scalable automation frameworks using Playwright and TypeScript for web and API testing. * Define and evolve test automation strategy, processes, and best practices to ensure consistent quality across projects. * Develop and maintain robust, reusable test suites and utilities for regression, smoke, and integration testing. * Integrate automation into CI/CD pipelines (e.g., Jenkins, GitLab CI) to enable continuous testing and fast feedback loops. * Collaborate with developers and DevOps engineers to ensure test environments and data are stable and reliable. * Apply white-box and gray-box testing techniques to ensure thorough coverage of both frontend and backend components. * Contribute to the adoption of AI-assisted testing tools and automation intelligence for test creation, maintenance, and analytics. * Participate in exploration and implementation of MCP-based automation components and reusable service connectors. * Provide technical guidance through mentoring and peer reviews, helping less experienced QAs enhance their automation expertise and code quality. * Continuously improve test performance, reliability, and reporting visibility through innovation and tool evaluation. Requirements * Bachelor’s degree in Computer Science, Information Technology, or equivalent experience. * 4+ years of experience in QA and automation, including 2+ years with Playwright and TypeScript. * Proven experience in building test automation frameworks from scratch. * Solid understanding of SDLC, QA methodologies, and automation design principles. * Strong knowledge of TypeScript and/or Python for test development. * Experience with REST API testing, SQL, and relational databases. * Familiarity with Jenkins, GitLab CI, and Git for continuous integration and source control. * Strong analytical and troubleshooting skills with a proactive, ownership-driven mindset. * Fluent in English, both written and verbal. Nice to Have * Experience with AI-powered testing tools or model-based testing. * Familiarity with Linux, Docker, and Kubernetes (K8s). * Knowledge of mobile automation frameworks such as Appium or similar tools. * Understanding of MCP architecture and how it can enhance modular automation. * Knowledge of performance or security testing concepts. * Experience working in Agile or Kanban environments. WHAT WE OFFER * 💻 Choice of work equipment (e.g., laptop, monitor, etc.) * 🇬🇧 English classes (iTalki – $130 monthly) * ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00 CET or EET) * 👶 Newborn bonus (€500 per child) * 🧠 Patent remuneration * 🌴 Paid leave * 🧑💻 Remote work in locations without our offices * Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.