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Fuku

AI Engineer

Singapore, Singapore, SingaporeSingapore
Full-time
POSTED 29 OCTVERIFIED 14M AGO
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Role
13 days opentrue age
Posted 29 Oct
Pay
$135k–$150kno pay posted
Market p25–p75
$135k–$150k
Singapore · n=12 · 365d to 6 Nov
CompanyFuku →
771open roles
Opened · 30d
+10
Closed · 30d
−0
2d of snapshots · 30d window
Market
3,287open · ML / AI
Opened · 7d
+2056% of open
All ml / ai
6,661open
All tracked boards · live 11 Nov · n=3,287
PythonJavaAWSGCPAzurePyTorchTensorFlowLLMs

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

Source · FukuFirst seen 10 NovOriginal ↗