Full Stack Developer (with ML/AI focus)

Aprisium Pte Ltd; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A deep-tech startup in Singapore is seeking a Full Stack Developer to design and maintain digital platforms, data pipelines, and dashboards. The ideal candidate will work across the stack, integrating ML/AI models for actionable insights from sensor data. Responsibilities include developing scalable web applications, building secure APIs, and collaborating with cross-functional teams. A Bachelor’s degree in Computer Science or equivalent, along with relevant hands-on experience, is required.

Qualifications

• Hands-on experience with front-end frameworks and back-end development.
• Solid understanding of databases and cloud platforms.
• Exposure to ML/AI frameworks is a plus.

Responsibilities

• Design and develop scalable web applications and dashboards.
• Build APIs for secure communication.
• Collaborate to integrate ML/AI models into production.
• Ensure robustness, performance, and security of applications.
• Work with cross-functional teams to deliver solutions.

Skills

Front-end frameworks (React, Angular, or Vue)

Back-end development (Node.js, Python)

Databases (SQL/NoSQL)

Cloud platforms (AWS/Azure/GCP)

ML/AI frameworks (TensorFlow, PyTorch, Scikit-learn)

Education

Bachelor’s degree in Computer Science, Software Engineering, or equivalent

Job description

Aprisium is a Singapore-based deep-tech startup delivering real-time, autonomous contamination monitoring solutions for water, wastewater, and industrial fluids. Our IoT-enabled analyzers and AI-driven analytics help industries detect pollutants at source, optimize processes, and improve both profitability and sustainability.

Role Overview

The Full Stack Developer will design, build, and maintain Aprisium’s digital platforms, dashboards, and data pipelines. The role requires hands-on development across the stack (front-end, back-end, database, APIs) with an added focus on applying ML/AI models to generate actionable insights from sensor data.

Key Responsibilities

• Platform Development
  • Design and develop scalable web applications and dashboards for real-time data visualization.
  • Build APIs for secure communication between analyzers, cloud services, and customer dashboards.
• Data & AI Integration
  • Collaborate with data scientists to integrate ML/AI models into production environments.
  • Develop and optimize pipelines for large-scale, real-time sensor data.
• System Reliability & Security
  • Ensure robustness, performance, and security of deployed applications.
  • Implement best practices in testing, version control, and CI/CD.
• Cross-functional Collaboration
  • Work closely with R&D, deployment, and customer success teams to deliver end-to-end solutions.
  • Provide feedback and contribute to continuous product improvements.

Qualifications & Skills

• Bachelor’s degree in Computer Science, Software Engineering, or equivalent.
• Hands-on experience with front-end frameworks (React, Angular, or Vue) and back-end development (Node.js, Python, or similar).
• Solid understanding of databases (SQL/NoSQL) and cloud platforms (AWS/Azure/GCP).
• Exposure to ML/AI frameworks (TensorFlow, PyTorch, Scikit-learn) and interest in applying them to real-world datasets.
• Familiarity with IoT data handling, real-time streaming, or edge-to-cloud integration is a plus.

Personal Attributes

• Curious, eager to learn, and proactive in problem-solving.
• Comfortable working in a fast-paced startup environment.
• Passionate about sustainability and leveraging technology for impact.

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