IA Engineer / Data Scientist – Générative AI (H/F)
Core
Design, develop, and industrialize generative AI and machine learning models for fraud detection, risk optimization, and process automation in the banking/finance/insurance sector.
Role type
Senior Generative AI Engineer / Data Scientist
Builds
Production ML models (LLMs, Diffusion, Computer Vision, NLP) integrated into banking workflows
Domain
Banking/Finance/Insurance + Generative AI
Deliverable
production ML models
Required skills
Generative AI (LLMs, Diffusion), Computer Vision, NLP, Time Series Forecasting, Feature Engineering, MLOps, Model Monitoring, Bias Detection
Preferred skills
Experience with autonomous agents, multi-modal models, cloud deployment (AWS/Azure/GCP)
Technologies
Python, Pandas, PySpark, Scikit-learn, Transformers, BERT, ResNet, Docker, Kubernetes, MLflow, Jenkins, AWS SageMaker, Azure ML, Grafana, SHAP, LIME
Responsibilities
Collaborate with business teams to define measurable AI objectives; Collect, clean, and explore data from diverse sources; Develop and train supervised, unsupervised, and deep learning models; Optimize model performance and explainability; Deploy models to cloud, on-premise, or edge environments; Monitor model drift and automate retraining; Integrate models with ERP/CRM systems.
Seniority
Senior, hands-on IC
