OTIV

About the Company

OTIV develops assistance, remote control, and autonomous technology for rail, improving safety, increasing efficiency, and contributing to the modal shift. Our solutions enable industrial players, rail operators, and infrastructure managers to transition from manual handling to assisted, remote-controlled, or fully autonomous rail operations.

We collaborate with major industry players such as CAF, DB Cargo, ArcelorMittal, Green Cargo, ProRail, and SNCF to address critical socio-economic challenges, including incident costs, labor shortages, and the environmental impact of transportation.

Listed Jobs

Company Name

OTIV

Job Title

Machine Learning Engineer

Job Description

Job Title: Machine Learning Engineer Role Summary: Design, train, validate, and deploy deep learning models for vision-based autonomous rail operations. Own and maintain training datasets, work with edge deployment, and collaborate with data and robotics teams. Expectations: Deliver high‑performance neural networks for object and rail detection, ensure dataset quality, deploy models on edge hardware, and manage annotation workflows. Key Responsibilities • Research and select suitable neural architectures for tasks such as object detection and rail detection. • Train and fine‑tune models in PyTorch, converting to ONNX/TensorRT for edge deployment. • Maintain and curate large vision datasets, coordinating labeling activities with third‑party teams. • Deploy validated models on edge devices and monitor performance. • Collaborate closely with data engineers and robotics engineers to integrate AI components into ADAS/self‑driving systems. Required Skills • Proficiency in Python programming. • Hands‑on experience training and validating vision‑based neural networks. • Knowledge of PyTorch, ONNX, CUDA, and TensorRT. • Ability to handle and maintain large datasets. • Strong skills in computer vision problem solving. • Excellent written and spoken English; additional European language is a plus. Required Education & Certifications • Master’s or PhD in Computer Engineering, Artificial Intelligence, Computer Science, or a related field. • Relevant certifications in machine learning or deep learning are an advantage.

Ghent, Belgium

On site

02-02-2026