Ingénieur Data Science - Stage - H/F
Core
Build and evaluate AI models for anomaly detection and prediction in industrial installations.
Role type
Junior data scientist (intern)
Builds
Production ML models for industrial anomaly detection
Domain
Industrial engineering, predictive maintenance
Deliverable
production ML models
Required skills
Python, data collection and cleaning, data annotation, data quality control, experimental design, benchmarking, generative AI for data augmentation, technical reporting
Preferred skills
None stated
Technologies
Python
Responsibilities
Update state-of-the-art reviews on AI models for industrial anomaly detection, create datasets via collection/cleaning/annotation, automate data processing and reporting scripts, experiment with AI models for anomaly detection/prediction, benchmark industrial use cases, experiment with generative AI to balance datasets, produce technical syntheses and project recommendations
Seniority
Intern (6 months)