Ingénieur Data Science - Stage - H/F
Core
Build and deploy AI models for anomaly detection and prediction in industrial installations.
Role type
Junior Data Scientist (Industrial AI)
Builds
Production-ready anomaly detection models for industrial assets
Domain
Industrial engineering, predictive maintenance, energy infrastructure
Deliverable
production ML models
Required skills
Python, data collection and cleaning, data annotation, quality control, automated scripting, experimental design, benchmarking, generative AI for data augmentation
Preferred skills
None stated
Technologies
Python, generative AI
Responsibilities
Update state-of-the-art reviews on industrial anomaly detection models, create and curate datasets, automate data processing and reporting pipelines, experiment with AI models for anomaly detection, benchmark real-world industrial use cases, experiment with generative AI to balance datasets, document technical findings and project recommendations
Seniority
Intern (final year of studies)
