ML Engineer

OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD is seeking a Computer Vision/MLOps professional in Singapore to train, fine-tune, and evaluate models, preparing datasets, experiments, and artefacts for production readiness.

You will diagnose failures, optimize performance under varying conditions, and ensure robust labeling quality. Experience with PyTorch/TensorFlow, OpenCV, and Docker is preferred, with strong documentation skills.

Qualifications

• Practical Python, deep-learning and Computer Vision experience.

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.

Skills

Python

Deep learning

Computer Vision

PyTorch

TensorFlow

OpenCV

Docker

MLOps

Experiment tracking

ONNX

TensorRT

GPU inference

Tools

Docker

ONNX

TensorRT

Job description

Scope of Work/ Duties and Responsibilities

• Train, fine-tune and evaluate Computer Vision models.
• Prepare andmaintaindatasets, experiments, evaluationresultsand model artefacts.
• Investigate false detections, missed events, trackingerrorsand model degradation.
• Identifyedge cases, define labellingtasksand review annotation quality.
• Analyseconditions such as layout, lighting, camera angle and crowding that may affect performance.
• Support model packaging, versioning, deployment,releaseand rollback activities.
• Perform retraining, thresholdtuningand regression testing whenrequired.
• Maintain model documentation, evaluation reports,limitationsand handover materials.
• Monitor model in production andmaintainthe model performance.
• Follow privacy, security, data-retentionand AI-governance requirements.
  

Minimum Required Experience and Qualifications

• Practical Python, deep-learningand Computer Vision experience.
• Experience with at least one Computer Vision workflow such as detection, classification, tracking, poseestimationor video analytics.
• Familiarity with frameworks such asPyTorch, TensorFlow, OpenCVor similar tools.
• Understanding ofdataset preparation, model training, precision, recall, F1 and latency.
• Able toanalysemodel failures and recommend data,configurationor model improvements.
• Familiarity with annotation tools and labelling quality checks.
• Good documentation and communication skills.
• Experience with Docker,MLOps, experiment tracking, ONNX,TensorRTor GPU inference is useful but not mandatory.
• Hospitality, F&B orcamera-based analytics experience is useful but not mandatory.