Role overview
We are a leading Engineering and IT consultancy operating across 30 countries, paving the way in various sectors, including Aeronautics, Space, Defence, Automotive, Rail & Mobility, Energy & Environment, Life Sciences & Health, and Telecoms
Our mission is to enable and support our customers' development strategies, technological advancements, and sustainability initiatives. We are united by a common purpose: building tomorrow’s world today.
What you'll work on
- Preprocess multimodal data (video, audio) to prepare it for training deep learning models, including annotation, synchronization, and augmentation.
- Assist in designing and implementing video-audio transformer models for real-time action recognition and validation of technician tasks.
- Fine-tune existing multimodal deep learning architectures for specific industrial scenarios, such as assembly line monitoring or maintenance tracking.
- Assist in designing and collecting datasets of egocentric hand-object interactions using wearable cameras, sensors, or VR/AR devices.
What we're looking for
- Artificial Intelligence, Machine Learning, Data Science, Computer Science, with a preference for practical skills in NLP, LLM, Transformers, and/or Computer Vision.
- And/or full stack development (front end and back end).
- And/or Digital Twin / Digital Thread, in an engineering environment.
- And/or Robotic.
Tags & focus areas
Used for matching and alerts on DevFound Tensorflow Pytorch Transformers Python