Senior Data Scientist - F/M
Nanterre, 92-Hauts-de-Seine, France
EUR 50K-65K (estimate) Senior-level Full Time
Tasks
- Build data pipelines and processing frameworks
- Build fine tune optimize LLM and computer vision models for industrial imagery
- Collaborate with cross-functional teams
- Conduct research and experimentation on emerging AI technologies
- Deploy and manage ML services using Azure Kubernetes Service and Azure ML Studio
- Design and implement scalable cloud based ML solutions on Azure
- Design develop deploy GenAI and machine learning models
- Develop NLP pipelines for text classification summarization information extraction
- Generate synthetic data for model training
- Implement MLOps best practices model monitoring data drift detection CI CD and automated retraining
- Implement multi-agent workflows
- Lead and mentor data science team
- Lead continuous improvement of RAG systems
- Perform POCs and technology benchmarking
- Present technical findings to technical and non-technical audiences
- Share knowledge through presentations and workshops
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Automated retraining | Azure | Azure Kubernetes | Azure Kubernetes Service | Azure ML | Azure ML Studio | CI/CD | Computer Vision | Data Drift | Data Drift Detection | Defect Detection | Docker | Drift Detection | Generative AI | Image Segmentation | Information Extraction | Keras | Kubernetes | Kubernetes Service | Language Models | Language Processing | Large Language Models | ML Studio | MLOps | Machine Learning | Model Monitoring | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | OCR | Object Detection | OpenCV | Pillow | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Summarization | Synthetic data | TensorFlow | Text Classification
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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