AI Engineer
At a glance
Mid-level AI Engineering role at Fuku. Singapore · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and launch AI models for business problems, then connect them to products and everyday workflows
- Test new AI and machine-learning approaches and apply useful findings to improve products
- Adjust models to balance processing speed, scale and accuracy
- Analyze large datasets for findings that can inform decisions, and document your models and processes
- Review code, test and debug systems, while helping develop the AI engineering team
What you bring
- A degree in computer science, AI, machine learning or a related subject, at bachelor’s or master’s level
- Professional experience putting AI or machine-learning models into use; relevant projects or internships can qualify recent graduates
- Strong Python or Java ability, with experience using TensorFlow, PyTorch or another listed framework
- Practical model deployment on AWS, Azure or another listed cloud platform
Who this fits
This onsite role is based in Singapore. It suits an AI engineer who can work with large datasets, explain technical ideas to non-technical colleagues and collaborate with product, engineering and business teams.
From the employer
What You’ll Do
• Build, train and deploy AI models and algorithms that solve real business problems
• Work with product, engineering and business teams to bring AI into live systems and workflows
• Explore the latest in AI and machine learning, and turn what you learn into better products
• Tune models for speed, scale and accuracy
• Dig into large datasets to find insights that guide decisions
• Document your models, processes and workflows so the whole team can build on them
• Join code reviews, testing and debugging to keep quality high
• Help shape and grow our AI engineering team
What You Bring
• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning or a related field
• Around 2 years of experience deploying AI or ML models in a professional setting. Fresh graduates with relevant projects or internships are also welcome to apply
• Strong Python or Java skills, and experience with TensorFlow, PyTorch or Scikit-learn
• Familiarity with LLMs, AI agents, multi-model orchestration and application engineering
• Solid grounding in data structures, algorithms and software engineering
• Hands-on experience deploying models on AWS, Azure or Google Cloud
• Comfort working with large datasets and data preprocessing
• Strong problem-solving skills, whether you work independently or in a team
• Clear communication, including explaining technical ideas to non-technical colleagues
Why Join Us
• Work on practical AI problems with real impact
• Learn and grow in a supportive, inclusive team
• Room to contribute ideas and shape how the team works
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Each morning you get everything that fits, strongest first.
AI Engineering
Find me workBy the team behind aimlroles.