Computer Vision / ML Engineer

PERCEPT SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

PERCEPT SOLUTIONS PTE. LTD. is seeking a hands-on Computer Vision Engineer to train, fine-tune and evaluate CV models in production. You will prepare and maintain datasets, run experiments, and compile evaluation results and artefacts to drive quality improvements.

You will investigate false detections, missed events and tracking errors, identify edge cases, review labeling quality, and assess how factors like layout, lighting, and camera angles impact performance.

Qualifications

• Practical Python, deep-learning and Computer Vision experience.
• Experience with CV workflows (detection, classification, tracking, pose estimation or video analytics).
• Understanding of dataset preparation, model training, precision, recall, F1 and latency.
• Ability to analyze model failures and propose improvements.
• Familiarity with annotation tools and labeling quality checks.

Responsibilities

• Train, fine-tune and evaluate Computer Vision models.
• Prepare and maintain datasets, experiments, and model artefacts.
• Investigate false detections, misses, tracking errors and degradation.
• Identify edge cases and review annotation quality.
• Analyze how layout, lighting and camera angle affect performance.
• Support model packaging, deployment, and rollout activities.
• Perform retraining, threshold tuning and regression testing.
• Maintain model documentation and evaluation reports.
• Monitor production model performance and governance requirements.

Skills

Python

Deep learning

Computer Vision

Data analysis

Annotation quality checks

Tools

PyTorch

TensorFlow

OpenCV

Docker

ONNX

TensorRT

Job description

Duties and Responsibilities:

• Train, fine-tune and evaluate Computer Vision models.
• Prepare and maintain datasets, experiments, evaluation results and model artefacts.
• Investigate false detections, missed events, tracking errors and model degradation.
• Identify edge cases, define labelling tasks and review annotation quality.
• Analyse conditions such as layout, lighting, camera angle and crowding that may affect performance.
• Support model packaging, versioning, deployment, release and rollback activities.
• Perform retraining, threshold tuning and regression testing when required.
• Maintain model documentation, evaluation reports, limitations and handover materials.
• Monitor model in production and maintain the model performance.
• Follow privacy, security, data-retention and AI-governance requirements.

Minimum Required Experience and Qualifications:

• Practical Python, deep-learning and Computer Vision experience.
• Experience with at least one Computer Vision workflow such as detection, classification, tracking, pose estimation or video analytics.
• Familiarity with frameworks such as PyTorch, TensorFlow, OpenCV or similar tools.
• Understanding of dataset preparation, model training, precision, recall, F1 and latency.
• Able to analyse model failures and recommend data, configuration or model improvements.
• Familiarity with annotation tools and labelling quality checks.
• Experience with Docker, MLOps, experiment tracking, ONNX, TensorRT or GPU inference is useful but not mandatory.
• Camera-based analytics experience is useful but not mandatory.

EA Licence No.:18S9405 / EA Reg. No.:R1330864

Percept Solutions is expanding and actively seeking talented individuals. We encourage applicants to follow Percept Solutions on LinkedIn at https://www.linkedin.com/company/percept-solutions/ to stay informed about new opportunities and events.