Computer Vision R&D Engineer
Core
Develop anomaly detection systems using Computer Vision, Machine Learning, and Vision Language Models for operating technology including railway rolling stock, infrastructure, and microscopy imaging.
Role type
Intern Computer Vision Engineer
Builds
Automated and generalised defect and anomaly detection systems for OT
Domain
Industrial automation, railway infrastructure, microscopy
Deliverable
production ML models
Required skills
Computer Vision algorithms, Deep Learning (CNNs, Vision Transformers), Python, C++, PyTorch, TensorFlow, OpenCV, 2D/3D vision techniques, Linear algebra, Probability, Statistics
Preferred skills
Industrial automation workflows, Edge AI deployment, Containerization, Synthetic data generation, Top-tier research publications
Technologies
PyTorch, TensorFlow, OpenCV, NVIDIA Jetson, TensorRT, Docker, Git
Responsibilities
Research and validate computer vision algorithms for defect detection, Train and optimize deep learning models for high-accuracy analysis, Develop vision-language models to interpret images and support anomaly detection, Stay updated with latest AI and Computer Vision advancements
Seniority
Intern
