Computer Vision / ML Engineer

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.

To apply,simply click the Apply button or send your updated profile to [Confidential Information]

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

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