
Full Stack Software Engineer and Data Science
16 hours ago
Job Scope
- Build responsive and user-friendly interfaces with , ensuring seamless user workflows
Integrate backend services and RESTful APIs with FastAPI, enabling smooth interaction between the UI and the synthetic data generation engine.
Containerize applications with Docker and deploy via AWS Lambda and the Serverless Framework
Manage infrastructure with Terraform to ensure scalability, security, and cost efficiency across a whole-of-government environment.
Develop and maintain CI/CD pipelines in GitLab, enabling automated builds, testing, and deployments.
Participate in code reviews, refactoring, and performance tuning to deliver high-quality, reliable systems.
Collaborate closely with Data Scientists to translate models and experiments into production-ready features (e.g., preprocessing pipelines, imputation methods, constraint handling)
- Support integration of deep learning and statistical models into the product, ensuring usability, performance, and maintainability
Help investigate and resolve edge cases where model behavior affects user experience (e.g., training failures, poor outputs).
Contribute to system design and architectural decisions that balance maintainability, scalability, and integration with ML workflows.
Partner with product managers, engineers, and privacy researchers to deliver features that meet both functional and security requirements
Translate technical concepts across AI, privacy, and software domains for stakeholders.
Stay at the forefront of emerging AI, privacy, and software technologies.
- Propose improvements to developer workflows, product performance, and system security at scale.
Requirements
- Hands-on experience in frontend development using or any other web libraries or frameworks (React, Angular, Vue and etc)
- Experience in backend with REST APIs with Python or any other backend frameworks/language
- Proficiency in cloud environments (AWS preferred; GCP or Azure acceptable)
- Experience with Infrastructure as Code tooling would be an advantage
- Strong understanding of Docker and containerized deployments
- Familiarity with Git version control and testing
- Understanding of DevOps, Git and CI/CD would be an advantage
- Interest in web app development with UI/UX design, and API development
- Adjacent skillsets in AI and Data Science are a bonus:
- Exposure to ML/DS workflows, with ability to collaborate on model integration and data preprocessing pipelines
- Comfort reading or debugging Python code related to ML libraries (e.g., PyTorch, TensorFlow, scikit-learn).
Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOL job application platform - GO.
Toh Wen Qi, Celeste | REG No : R
PERSOL SINGAPORE PTE LTD | EA License No : 01C4394
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