Strong Junior Computer Vision Engineer

We are looking for a Strong Junior Computer Vision Engineer (2+ years of hands-on experience) to join one of our long-term projects, working with us on a contract basis.

The project focuses on early detection of damage in steel cables and other critical infrastructure components using AI, computer vision, and simulations to enhance reliability and reduce downtime.

Key Requirements (2+ years experience in CV/ML):
• Strong practical experience in Computer Vision (image segmentation, basic video segmentation, classifiers).
• Hands-on skills with PyTorch and common CV model architectures.
• Experience working with small/limited datasets and applying data-efficient training approaches.
• Basic understanding of GPU performance and parallelization concepts.
• Experience with ML pipelines (training, validation, labeling tools like Label Studio / MLflow).
• Strong English (B2 and above) - ability to communicate clearly with the team and document technical work.

Responsibilities:
• Support and optimize CV models (segmentation/classification) for industrial real-time use cases.
• Maintain training, inference, and validation pipelines with guidance from senior team members.
• Prepare models for deployment on edge hardware (Jetson Thor) and test performance on new devices.
• Improve data efficiency and training workflows for limited datasets.
• Generate automated evaluation reports and ensure model quality.
• Contribute to continuous improvement of the CV pipeline and overall system reliability.