jobs in APBA TG HUMAN RESOURCE PTE. LTD.

APBA TG HUMAN RESOURCE PTE. LTD. Hiring! Full Time Full Stack Developer (AI-ML Focus) in Central Region (Singapore), Earn up to SGD 6,500 - Ricebowl

Full Stack Developer (AI-ML Focus)

APBA TG HUMAN RESOURCE PTE. LTD.

SGD6,500 - SGD6,500 Per Month

Full Time

Central Region (Singapore)

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Working Location

  • 25 NORTH BRIDGE ROAD Central Region (Singapore) Singapore

Job Description

Responsibilities

Key Responsibilities

  • Design and build scalable full stack applications from frontend to backend
  • Develop and integrate AI-powered features such as:
  • Conversational interfaces (chatbots)
  • Intelligent search or recommendations
  • Automation and decision-support systems
  • Work with APIs and microservices to connect AI services with application workflows
  • Collaborate with cross-functional teams including data scientists and product owners
  • Participate in system design, architecture discussions, and technical decision-making
  • Deploy and monitor applications in either cloud or on-prem environments
  • Write clean, maintainable, and well-documented code
  • Contribute to both Agile sprints or structured Waterfall phases as required

Technical Requirements

  • Degree in Computer Science, Software Engineering, or related discipline
  • 2–5 years of experience in full stack development
  • Strong frontend development skills:
  • JavaScript / TypeScript
  • React, Angular, or Vue.js
  • Backend development experience:
  • Node.js, Python (FastAPI/Flask), or Java (Spring Boot)
  • Experience with databases:
  • Relational (PostgreSQL, MySQL) or NoSQL (MongoDB)
  • Understanding of API design and integration (REST/JSON)

AI/ML Requirements

  • Basic to intermediate knowledge of machine learning concepts
  • Experience (project or professional) with:
  • AI/ML libraries (TensorFlow, PyTorch, Scikit-learn), or
  • AI APIs (OpenAI, Azure AI, AWS AI)

Preferred Skills

  • Experience with cloud platforms (Azure, AWS, or GCP)
  • Familiarity with CI/CD pipelines and DevOps practices
  • Exposure to containerization (Docker, Kubernetes)
  • Experience working in Agile environments or structured SDLC (Waterfall)
  • Knowledge of security best practices and authentication mechanisms

Interested candidates, please send your CVs on *************

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

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