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Open nowPosted 29 days ago

Full Stack Developer (AI/ML – Junior to MidLevel)

MyCareersFuture94,028 open roles

Pay
SGD 4,000 – SGD 6,150 a month
Where
Central, Singapore
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Your applicationOpen nowFull Stack Developer (AI/ML – Junior to MidLevel)MyCareersFuture · Central, Singapore

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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 29 days ago

The posting

Singaporean Only

Job Title: Full Stack Developer (AI/ML –Junior to Mid-Level)

Summary

We are looking for a Full StackDeveloper with foundational to intermediate AI/ML knowledge to help buildintelligent, scalable software applications with AI features. This role isideal for candidates who are strong in software engineering and have hands-onexposure or growing interest in AI technologies.

You will collaborate with software teams inprojects delivered using either Waterfall or Agile methodologies, depending on business/clientrequirements

Key Responsibilities

  • Develop and maintain full stack web applications (frontend and backend)
  • Integrate pre-built or internally developed AI/ML models into applications
  • Build and consume RESTful APIs and backend services
  • Support AI feature development such as chatbots, recommendation systems, or automation testing tools
  • Work with data scientists to test and deploy machine learning models
  • Create responsive UI components and improve user experience
  • Perform debugging, testing, and code optimization

Required Skills & Qualifications

  • Bachelor’s degree in computer science, computer engineering, or related field (or equivalent practical experience)
  • 0–5 years of experience in software or full stack development
  • Proficiency in at least one frontend framework:
  • Vue.js, React or Angular
  • Backend development experience with:
  • Java Spring Boot, Node.js, Python (Flask/FastAPI), or similar
  • Basic understanding of databases:
  • SQL (PostgreSQL/MySQL) or NoSQL (MongoDB)
  • Foundational knowledge of AI/ML concepts:
  • Supervised/unsupervised learning
  • Model inference vs training
  • Exposure to AI tools/frameworks (academic or project-based experience acceptable):
  • TensorFlow, PyTorch, etc
  • Familiarity with GitLab, Kubernetes, Jira
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