- Singapore
Kerja Sepenuh Masa Computer Vision - ML Engineer, Gaji tinggi SGD 8,000 di EXASOFT PTE. LTD. - Maukerja
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
About the Role
We are looking for a
Computer Vision / ML Engineer
to develop, evaluate and improve production-ready
Computer Vision and Machine Learning solutions
.
The role will focus on model training and optimisation, dataset preparation, performance analysis, deployment support and ongoing monitoring of ML models in production.
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: Object detection Image classification Object tracking Pose estimation 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.
Nice to Have
Experience with
Docker and MLOps
.
Experience with experiment tracking and ML lifecycle management.
Exposure to
ONNX, TensorRT or GPU inference
.
Experience working with production Computer Vision models.
Exposure to
video or camera-based analytics
.
We are a team of young professionals with an entrepreneurial mindset come together to redefine the talent that accelerate innovation, growth, and sustainability of the business.
We live in a world of complexity and uncertainty, whether its economy or business. And its technology that drives constant change. A business needs the right people, working collaboratively and effectively and that’s where we come in.
Exa- is a new brand that is locally breaded with an international exposure. We bring in a strong persuasion, collaborating with the expertise and network of professionals across IT.
We value and believe in our team, and we start with understanding a candidate’s ambitions. Aspiring ahead with them by - coaching, guiding, investing in their training, and upskilling throughout their career.
We are looking for a
Computer Vision / ML Engineer
to develop, evaluate and improve production-ready
Computer Vision and Machine Learning solutions
.
The role will focus on model training and optimisation, dataset preparation, performance analysis, deployment support and ongoing monitoring of ML models in production.
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: Object detection Image classification Object tracking Pose estimation 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.
Nice to Have
Experience with
Docker and MLOps
.
Experience with experiment tracking and ML lifecycle management.
Exposure to
ONNX, TensorRT or GPU inference
.
Experience working with production Computer Vision models.
Exposure to
video or camera-based analytics
.
We are a team of young professionals with an entrepreneurial mindset come together to redefine the talent that accelerate innovation, growth, and sustainability of the business.
We live in a world of complexity and uncertainty, whether its economy or business. And its technology that drives constant change. A business needs the right people, working collaboratively and effectively and that’s where we come in.
Exa- is a new brand that is locally breaded with an international exposure. We bring in a strong persuasion, collaborating with the expertise and network of professionals across IT.
We value and believe in our team, and we start with understanding a candidate’s ambitions. Aspiring ahead with them by - coaching, guiding, investing in their training, and upskilling throughout their career.
Peringatan Penting
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