jobs in EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD.

EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD. Hiring! Full Time Machine Learning Engineer (Computer Vision) in Central Region (Singapore), Earn up to SGD 5,000 - Ricebowl

Machine Learning Engineer (Computer Vision)

EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD.

SGD5,000 - SGD5,000 Per Month

Central Region (Singapore)

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Working Location

  • 16 RAFFLES QUAY Central Region (Singapore) Singapore

Job Description

Responsibilities

Overview

We are looking for a ML Engineer (Computer Vision – Model Engineering) to build, train, and improve computer vision models for real-world systems. The role focuses on model engineering, experimentation, optimisation, and production-facing ML pipelines within an AI-driven environment.

Responsibilities

  • Train, fine-tune, and evaluate computer vision models for tasks such as object detection, segmentation, classification, and video understanding.
  • Improve model accuracy, robustness, and inference performance through experimentation and optimisation.
  • Analyse model failures, edge cases, and real-world performance issues.
  • Work with large-scale datasets, preprocessing, augmentation, and validation.
  • Prototype and evaluate new computer vision techniques and models.
  • Support model deployment, monitoring, and production ML pipelines.
  • Collaborate with engineers and researchers to translate experiments into production improvements.

Requirements

  • Degree in Computer Science, AI, Machine Learning, or related field.
  • 1–2+ years of hands-on experience in deep learning and computer vision.
  • Strong proficiency in Python.
  • Hands-on experience with PyTorch and/or TensorFlow.
  • Experience training and fine-tuning computer vision models.
  • Familiarity with Linux environments and command-line usage.
  • Ability to modify and optimise models beyond basic configuration changes.
  • Strong debugging, experimentation, and analytical skills.
  • Exposure to MLOps / tooling such as Git, Docker, MLflow, ONNX, TensorRT, OpenCV, or FFmpeg is advantageous.

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