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Fuku

AI-powered platform matches candidates with jobs

AI Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field is required.
  • Around 2 years of professional experience deploying AI or machine learning models is requested; 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 are required.
  • Familiarity with large language models, AI agents, multi-model orchestration, and application engineering is required.
  • A solid grounding in data structures, algorithms, and software engineering is required.
  • Hands-on experience deploying models on AWS, Azure, or Google Cloud is required.
  • Comfort working with large datasets and data preprocessing is required.
  • Strong problem-solving skills and clear communication, including explaining technical ideas to non-technical colleagues, are requested.

Responsibilities

  • Build, train, and deploy AI models and algorithms to solve business problems.
  • Work with product, engineering, and business teams to integrate AI into live systems and workflows.
  • Explore AI and machine learning developments and apply them to improve products.
  • Tune models for speed, scale, and accuracy.
  • Analyze large datasets to find insights that guide decisions.
  • Document models, processes, and workflows for team use.
  • Participate in code reviews, testing, and debugging to maintain quality.
  • Help shape and grow the AI engineering team.

About the Company

Fuku

AI-powered platform matches candidates with jobs

Fuku.ai provides an AI-powered recruitment platform that helps HR teams find top candidates by delivering a curated, ranked list of profiles and resumes, with a focus on white-collar roles like lawyers, finance, and tech. It automatically matches job seekers to relevant opportunities based on experience, skills, and preferences, and lets professionals build detailed profiles. It differentiates itself with curated, ranked candidate lists within a subscription model for companies and a Talent Community that connects specialists to opportunities within client networks. Its goal is to help clients speed up hiring, optimize recruitment processes, and enable meaningful business improvements.

Company size
11-50
Company stage
Seed
Total funding
$810K
Headquarters
Singapore, Singapore
Founded
2024

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