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Data and AI Scientist

Trinity Consulting Services

Singapore ・ フルタイム

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経験
どれでも
給料
求人情報
1
投稿済み
4時間前
Work mode
在任中
教育
Engineering / Computer Science / Mathematics / Statistics or equivalent
Eligibility
Candidates with a background in engineering, computer engineering, computer science, mathematics, statistics, or an equivalent field are suitable to apply.
Resume
Required to apply

Where you'll work

仕事内容

Role Overview

Trinity Consulting Services is looking for a Data and AI Scientist to join its Singapore team. This is an on-site full-time position focused on applying modern AI methods, data work, and advanced technical problem-solving to real-world production use cases.

What You Will Bring to the Role

  • A degree or equivalent background in engineering, computer engineering, computer science, mathematics, statistics, or a closely related field.
  • Solid technical depth in artificial intelligence, along with familiarity with current research directions and deployment practices for production environments.
  • Hands-on programming ability in Python and/or C++.
  • Practical experience using tools and libraries for data handling, visualization, machine learning, and reporting.
  • Exposure to deep learning frameworks such as TensorFlow or Torch.
  • Experience with prompt engineering for code-driven workflows using OpenAI and Claude.
  • Experience building and deploying AI agents, retrieval-augmented generation systems, and vector or graph database solutions.
  • Strong command over 3D geometry, vector mathematics, and coordinate systems.
  • Working knowledge of mesh operations, Boolean logic for geometry, and geometric transformation techniques.
  • Ability to use relevant 3D design or CAD tools such as Blender or Rivet, and/or development libraries such as OpenGL, CGAL, or Three.js.
  • Comfort working collaboratively across functions with a strong team-oriented mindset.
  • Excellent verbal, written, presentation, and stakeholder engagement skills.

Additional Information

This role emphasizes both AI engineering and advanced geometric computing. Candidates should be able to contribute across model development, deployment, and problem-solving tasks that blend data science, machine learning, and 3D/geometry-related technical work.

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