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Machine Learning Engineer - AI Agent Platform at Virtuos | Singapore

Company/Recruiter: Virtuos

Published on: Nov 4, 2026 · Updated Nov 4, 2026 · Closes Dec 4, 2026
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Opportunity snapshot

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Opportunity type

Job

Location

Singapore

Work arrangement

Location-based; remote work not stated

Compensation

Not disclosed

Closing date

Dec 4, 2026

Employer

Virtuos

Prepare your application

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MorrJobs preparation notes

Role shape: Responsibility-led role with a detailed skills profile.

Evidence to prepare: Connect your CV or portfolio to Proven experience in machine learning engineering.; Strong programming skills in Python and relevant ML libraries (e.g., TensorFlow, PyTorch).. Use one concrete example that shows you can Design, develop, and implement machine learning models for AI agents..

Check before applying: Confirm that Singapore and the stated work arrangement suit you, check the closing date of Dec 4, 2026.

  • Apply before Dec 4, 2026.
  • The application route is available to verified Talent accounts.
  • Compensation is not disclosed in the listing; confirm it during the employer's process.

Virtuos is seeking a skilled Machine Learning Engineer to join our AI Agent Platform team. In this role, you will contribute to the advancement of our cutting-edge AI technologies, playing a pivotal part in shaping the future of immersive gaming experiences. We are looking for passionate individuals who are eager to innovate and collaborate within a dynamic and forward-thinking environment.Job Overview

This position focuses on developing and deploying sophisticated machine learning models to enhance AI agents within our gaming platforms. You will work with large datasets, implement advanced algorithms, and contribute to the continuous improvement of our AI capabilities.

Key Responsibilities

  • Design, develop, and implement machine learning models for AI agents.
  • Process and analyze large datasets to extract actionable insights.
  • Collaborate with cross-functional teams to integrate ML solutions into existing platforms.
  • Evaluate and optimize model performance and scalability.
  • Stay abreast of the latest advancements in machine learning and AI research.

Requirements

  • Proven experience in machine learning engineering.
  • Strong programming skills in Python and relevant ML libraries (e.g., TensorFlow, PyTorch).
  • Solid understanding of statistical modeling and data analysis techniques.
  • Experience with cloud platforms and MLOps principles is a plus.
  • Excellent problem-solving and analytical abilities.

What We Offer

  • Opportunity to work on groundbreaking AI technologies in the gaming industry.
  • A collaborative and innovative work environment.
  • Professional development and growth opportunities.
  • Contribution to a company that is a leader in its field.

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