Principal AI/ML Engineer (Computer Vision)

Hudson Singapore; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Hudson Singapore seeks a Principal AI/ML Engineer (Computer Vision) to lead advanced CV and AI/ML initiatives within the Global Engineering Organization in Singapore. You will set research direction, design model architectures, run experiments, and drive production-ready CV solutions across product areas.

This senior role requires a PhD or Master's, 8+ years in ML/DL with CV, strong PyTorch/TensorFlow, and experience bringing models into production with MLOps, REST APIs, and Docker.

Qualifications

• PhD or Master in CS/CV/ML or related field.
• 8+ years hands-on ML/DL with CV focus.
• Strong PyTorch and/or TensorFlow with Python development.
• Experience with OpenCV, NumPy, Pandas, scikit-learn.
• Deep understanding of CV algorithms and modern DL approaches.
• Experience with object detection, segmentation, classification, feature matching, retrieval, evaluation.
• Experience with modern CV architectures (CNNs, Transformers, Vision Transformers, YOLO, Mask R-CNN, CLIP-like, SAM-like).
• Production ML: inference optimization, latency, memory, scalability, reliability.
• REST APIs, Docker, CI/CD, model versioning, MLOps practices.
• Data quality, annotation, labeling, model error analysis.
• Ability to read/review docs/papers in English and explain to stakeholders.
• Agile development ownership and decision making.
• Distributed teams across locations/time zones.
• Applicants MUST BE currently based in Singapore.

Responsibilities

• Lead advanced Computer Vision and AI/ML work within GEO.
• Define research direction, model architectures, experimentation, and model quality.
• Drive production-readiness and practical implementation of CV solutions.
• Collaborate with research, engineering, product, and production teams.

Education

PhD or Master in Computer Science, Computer Vision, Machine Learning, AI, Applied Mathematics, Electrical Engineering, Robotics, or related field

Tools

PyTorch

TensorFlow

OpenCV

NumPy

Pandas

scikit-learn

REST APIs

Docker

CI/CD

MLOps

Job description

• Senior Technical Leadership Role

Our client is a global Supply Chain Solution provider and is now building a new Global Engineering Organization (GEO) in Singapore to strengthen internal software delivery, improve production ownership, and build long-term engineering capability. They are now looking for a Principal AI/ML Engineer (Computer Vision) to lead advanced Computer Vision and AI / ML work inside GEO, covering research direction, model architecture, experimentation, model quality, production readiness, and practical implementation of computer vision solutions used in company products.

This role provides Computer Vision technical leadership and production-quality AI / ML implementation for assigned product areas. This is a highly experienced specialist who can work across research, engineering, product, and production systems. The successful candidate will evaluate new approaches, design model architectures, run experiments, improve model quality, and help engineering teams bring AI / ML capabilities into real production workflows.

Requirement:

• PhD or Master in Computer Science, Computer Vision, Machine Learning, Artificial Intelligence, Applied Mathematics, Electrical Engineering, Robotics, or a closely related technical field.
• At least 8 years of hands-on experience in Machine Learning / Deep Learning, with a strong focus on Computer Vision.
• Strong practical experience with PyTorch and / or TensorFlow, plus strong Python development skills.
• Experience with OpenCV, NumPy, Pandas, scikit-learn, and the modern Python ML ecosystem.
• Deep understanding of classical Computer Vision algorithms and modern deep learning approaches.
• Strong experience with object detection, semantic segmentation, image classification, feature matching, image retrieval, and model evaluation.
• Experience with modern Computer Vision architectures and techniques such as CNNs, Transformers, Vision Transformers, YOLO, Mask R-CNN, CLIP-like models, SAM-like models, or similar.
• Experience bringing ML models into production environments, including model optimization for inference speed, latency, memory usage, scalability, and reliability.
• Experience with REST APIs, Docker, CI / CD, model versioning, experiment tracking, and MLOps practices.
• Strong understanding of datasets, data quality, annotation processes, labeling requirements, and model error analysis.
• Ability to read and evaluate technical documentation and research papers in English, and explain complex technical topics to engineering, product, and business stakeholders.
• Experience working in Agile software development environments, with strong ownership, judgment, and ability to make practical technical decisions under uncertainty.
• Comfortable working in distributed teams across multiple locations and time zones.
• Applicants MUST BE currently based in Singapore and has relevant work experience in Singapore.