Machine Learning Engineer Intern

VisEyeQ Pte. Ltd.

Downtown Core, Singapore
Training
Full-time

1 month ago

Founded in 2025, VisEyeQ Pte. Ltd. is a Singapore-based AI startup revolutionising workplace safety and productivity for the logistics and manufacturing sectors. By leveraging cutting-edge computer vision, wearable technology, and data-driven insights as an industry-first, VisEyeQ empowers businesses to prevent workplace injuries and optimise operations proactively. Our flagship platforms—CoreIQ, ErgoIQ, and VisWatchIQ—seamlessly integrate real-time risk assessments, ergonomic monitoring, and advanced alert systems to address safety challenges like musculoskeletal disorders, hazardous interactions, and inefficiencies in dynamic environments. Partnering with industry leaders, universities, and government agencies, VisEyeQ is committed to redefining occupational health and safety standards worldwide while driving innovation through scalable IoT solutions and continuous research.
VisEyeQ is graciously supported by the River Venture Studios, the NVIDIA Inception programme, AWS Activate and the NUS Entrepreneurship Society.Job DescriptionDesign, develop, and deploy robust machine learning models — especially deep learning and computer vision pipelines — for video/image analysis in industrial environments.Fine-tune models (YOLO, Detectron2, etc.) for real-time object detection, behavior recognition, and anomaly detection.Work with a team of data scientists and engineers to train models on diverse datasets from warehouses, ports, and factories in Southeast Asia.Build and improve pipelines for model evaluation, bias detection, versioning, and performance tracking.Integrate ML models into our end-to-end monitoring platform — with a focus on latency, edge deployment, and explainability.Work with cloud infrastructure (AWS/GCP) and edge devices to optimize model inference.Collaborate cross-functionally with our safety advisors and partners to translate operational needs into ethical, high-performing models.Contribute to AI governance best practices — ensuring your models are accurate, fair, and auditable.This position is already closed and no longer available.

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