Machine Learning Engineer

Exasoft; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Exasoft in Singapore seeks a Computer Vision / ML Engineer to develop and productionize Computer Vision and Machine Learning solutions.

You will train, evaluate, and refine models, prepare datasets, monitor performance in production, and support deployment, versioning, and documentation while adhering to privacy and governance requirements.

The role emphasizes data quality, experimentation, and collaboration with cross-functional teams to deliver robust, scalable AI capabilities.

Qualifications

• Proven hands-on experience with Python, deep learning and computer vision.
• Experience in CV tasks such as image classification, object tracking or video analytics.
• Strong understanding of ML performance metrics (precision, recall, F1, latency).

Responsibilities

• Train, fine-tune and evaluate computer vision and ML models.
• Prepare and maintain datasets, experiments, and evaluation results.
• Investigate false detections, missed events, tracking errors and model degradation.
• Identify data labelling requirements and review annotation quality.
• Analyze lighting, camera angles, layouts and crowding affecting model performance.
• Perform model retraining, threshold tuning and regression testing when needed.
• Support model packaging, versioning, deployment, release and rollback activities.
• Monitor models in production and maintain performance.
• Maintain technical documentation and handover materials.
• Ensure privacy, security, data-retention and AI-governance adherence.

Skills

Python

Deep learning

Computer Vision

PyTorch

TensorFlow

OpenCV

Education

Diploma or Degree in Computer Science, Artificial Intelligence, Data Science, Engineering

Tools

PyTorch

TensorFlow

OpenCV

Job description

We are looking for a Computer Vision / ML Engineer to develop, evaluate and improve production-ready Computer Vision and Machine Learning solutions.

Key Responsibilities

• Train, fine-tune and evaluate Computer Vision and Machine Learning models.
• Prepare and maintain datasets, experiments, evaluation results and model artefacts.
• Investigate false detections, missed events, tracking errors and model degradation.
• Identify edge cases and define data-labelling and annotation requirements.
• Review annotation quality and identify opportunities to improve training data.
• Analyse environmental factors such as lighting, camera angles, layouts and crowding that may impact model performance.
• Perform model retraining, threshold tuning and regression testing when required.
• Support model packaging, versioning, deployment, release and rollback activities.
• Monitor models in production and help maintain model performance.
• Maintain technical documentation, evaluation reports, model limitations and handover materials.
• Follow applicable privacy, security, data-retention and AI-governance requirements.

Requirements

• 2-6 years of relevant experience in Machine Learning, Computer Vision, AI Engineering or related areas.
• Diploma or Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field
• Strong hands-on experience with Python, deep learning and Computer Vision.
• Experience in at least one Computer Vision area such as:
• Image classification
• Object tracking
• Video analytics
• Experience with frameworks and tools such as PyTorch, TensorFlow, OpenCV or similar.
• Good understanding of dataset preparation and model training.
• Understanding of ML performance metrics including precision, recall, F1 score and latency.
• Ability to analyse model failures and recommend improvements to data, configuration or models.
• Familiarity with annotation tools and labelling quality checks.
• Good documentation, analytical and communication skills.