2026 Graduate Trainee (IT) - Singapore
Content + Source + Freshness • 13 Dec 2025 • 95% confidence
Offer value
Promising role in the AI and machine learning field offering substantial career growth potential in a high-demand area.
- High demand for AI and ML skills in today's tech landscape
- Involvement in innovative projects with potential market impact
- Strong prospects for future career growth
Pros
- Significant growth opportunities in a rapidly evolving field
- Hands-on experience with cutting-edge technology
- Potential for innovative project involvement
Cons
- Requires strong technical skills, which may limit candidate pool
- Challenges in balancing multiple projects simultaneously
- May involve a steep learning curve for newcomers to the field
Who it's for
Entry-level / Recent Graduates • In-person in Singapore
Good fit
- Recent graduates in tech fields eager to work in AI
- Innovative thinkers interested in machine learning
- Candidates looking to build a career in a high-demand area
Not recommended for
- Individuals without relevant technical or academic background
- Those seeking non-technical or routine tasks
- Candidates not open to learning and adaptation
Motivation fit
Key skills
About the job
Summary
The objective of the position is to design, build, and deploy AI, Gen AI and Machine learning models and AI-powered solutions
What you'll doThe holder of the position is mainly responsible for the following areas in coordination with his / her superior:
• Model Development & Implementation: Design, develop, train, and test machine learning (ML) and deep learning (DL) models using company’s AI allowable frame-works like TensorFlow etc.
• Data Pipeline Management: Build and maintain robust, scalable data pipelines to collect, clean, and preprocess large datasets for model training and evaluation.
• Deployment & MLOps: Deploy ML models into production systems using CI/CD pipelines and MLOps best practices. Monitor model performance, and retrain and update models as needed
• System Integration: Integrate AI models with existing software applications and infrastructure, ensuring scalability, performance, and reliability
• Collaboration & Prototyping: Work closely with cross-functional teams to under-stand business requirements, conduct experiments, and rapidly prototype new AI solutions
• Research & Innovation: Stay up-to-date with the latest advancements in AI and machine learning to propose and implement innovative solutions.
What you'll need- Graduates of 2026 or recent graduates with up to 1 year working experience
- Bachelor’s degree with an Upper Second Class/higher or GPA score of at least 3.0 with major, including but not limited to:Computer Science, Data Science, Engineering, or a related field.
- Experience: Good academ ic and Demo or POC, hands-on experience in a similar work, such as AI design, Machine Learning or building Data pipelines
- Programming Proficiency: Good programming skills in Python are essential. Familiarity with libraries like NumPy, Pandas, and Scikit-learn is required.
- ML/DL Frameworks: Some experience with at least one deep learning framework, such as TensorFlow, PyTorch, or Keras.
- Cloud Computing: Light Experience with any major cloud platform (AWS, Azure, or GCP) and their respective AI/ML services
- Software Engineering: Good understanding of software development principles
- Problem-Solving: Strong analytical and problem-solving skills with the ability to translate business problems into technical solutions
- Proficiency in PL/SQL to write SQL scripts
- Experience in data modelling would be an advantage
- Good analytical and troubleshooting skills
- Curious, proactive, self-motivated and able to work in a dynamic environment
- Excellent salary and benefits
- Networking opportunities
- External training sponsorship
- Ongoing training and development
- Continuing support with our buddy and mentorship programs
