jobs in SECOND TALENT SG PTE. LTD.

SECOND TALENT SG PTE. LTD. Hiring! Full Time Principal Computer Vision Scientist in Islandwide (Singapore), Earn up to SGD 13,000 - Ricebowl

Principal Computer Vision Scientist

SECOND TALENT SG PTE. LTD.

SGD13,000 - SGD13,000 Per Month

Islandwide (Singapore)

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Working Location

  • Islandwide (Singapore) Singapore

Job Description

Responsibilities

Senior technical leader for our Computer Vision and AI/ML work. You'll own model architecture and experimentation through to production, and set the standards the team builds against. PhD-level role spanning research, engineering, and production systems.

What you'll do

  • Lead research, design, and delivery of CV and AI/ML solutions
  • Define model architecture, experiment strategy, validation methodology, and production-readiness criteria
  • Train, fine-tune, and deploy models for object detection, segmentation, classification, OCR, feature matching, and visual search
  • Own the full model lifecycle: dataset quality, annotation, training, evaluation, deployment, monitoring
  • Build prototypes and PoCs; analyze failure cases and drive improvements
  • Review and improve CV pipelines for latency, scalability, and reliability
  • Set standards for evaluation, versioning, dataset management, and MLOps; mentor engineers

What you'll need

  • PhD in CS, Computer Vision, ML, AI, Applied Math, EE, Robotics, or related field
  • 7+ years hands-on ML/deep learning with a strong CV focus
  • Strong Python; PyTorch and/or TensorFlow; OpenCV, NumPy, Pandas, scikit-learn
  • Solid grasp of classical CV and modern architectures (CNNs, ViT, YOLO, Mask R-CNN, CLIP/SAM-like)
  • Proven experience taking models to production and optimizing for latency, memory, and scale
  • REST APIs, Docker, CI/CD, model versioning, experiment tracking, MLOps
  • Strong data/annotation/error-analysis discipline; Agile; ownership mindset

Nice to have
Edge/mobile inference (ONNX, TensorRT, OpenVINO, TFLite, CoreML) · large-scale image pipelines · synthetic data, active learning, weak supervision · multimodal/vision-language models · cloud ML platforms · publications or patents

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