CS27 - BAC+5 - Data Scientist - Évaluation et déploiement de modèles multimodaux pour des cas d’usage industriels
Core
Evaluate and deploy multimodal AI models (vision, audio) for industrial use cases like anomaly detection and speech-to-text in factory environments.
Role type
Junior Data Scientist (Industrial AI)
Builds
Evaluation frameworks, model benchmarks, and deployment guidelines for multimodal models on GCP and edge hardware.
Domain
Automotive manufacturing / Industrial AI
Deliverable
production ML models
Required skills
Machine Learning, Deep Learning, Multimodal processing (vision, audio), Python, Cloud deployment (GCP), Model optimization (quantization, fine-tuning)
Preferred skills
Embedded systems knowledge (Jetson, TensorRT, ONNX), MLOps
Responsibilities
Benchmark models across API, cloud, and edge approaches; define evaluation metrics (quality, robustness, cost); build reproducible evaluation frameworks; deploy and compare solutions; write usage guidelines.
Seniority
Junior, Master 2 or final year engineering student
