Principal AI/ML Engineer (Computer Vision)

Hudson RPO Asia Pacific; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

Hudson RPO Asia Pacific in Singapore is seeking a Principal AI/ML Engineer (Computer Vision) to lead advanced CV and AI/ML work in the GEO, covering research direction, model architecture, experiments, and production-ready implementation.

The role demands deep CV/ML expertise, strong PyTorch/TensorFlow skills, and experience deploying scalable ML systems with robust validation. Collaborative across research, engineering, and product teams in a distributed setup.

Qualifications

• PhD or Master in Computer Science, Computer Vision, ML, AI, Applied Math, EE, Robotics or closely related technical field.
• 8+ years hands-on ML/DL experience with strong CV focus.
• Deep knowledge of PyTorch/TensorFlow and Python development.
• Experience with OpenCV, NumPy, Pandas, scikit-learn and modern Python ML stack.
• Experience with object detection, segmentation, image classification, and model evaluation.
• Experience bringing ML models to production with optimization for inference and latency.
• Experience with REST APIs, Docker, CI/CD, MLOps and model versioning.
• Ability to communicate complex topics to cross-functional stakeholders.

Responsibilities

• Lead advanced CV/AI/ML work within GEO and guide research directions.
• Design model architectures and run experiments to improve quality.
• Ensure production readiness and scalability of CV solutions.
• Collaborate with research, engineering, and product teams across locations.

Skills

Python development

PyTorch

TensorFlow

OpenCV

CNNs/Transformers

MLOps

REST APIs

Agile

Education

PhD or Master in CS/EE/ML

Tools

Docker

CI/CD

NumPy

Pandas

scikit-learn

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.