🛠 Tech Stack

💼 About This Role

You'll design scalable AI/ML architectures in the public cloud and implement MLOps pipelines to industrialize models. You'll work on Generative AI solutions using LLMs and RAG systems.

🎯 What You'll Do

• Conceive and develop scalable AI/ML architectures in public cloud
• Integrate AI/ML models into existing applications
• Implement MLOps pipelines to industrialize models
• Develop Generative AI solutions with LLMs and RAG systems

📋 Requirements

• Python development experience (FastAPI, Flask)
• Cloud platforms experience (AWS, GCP, or Azure)
• MLOps tools experience (MLflow, Kubeflow)
• 3-5 years in machine learning engineering

✨ Nice to Have

• Experience with vector databases (pgvector, Elasticsearch)
• LangChain or LlamaIndex experience

🎁 Benefits & Perks

• 📚 BlackBelt training program
• 👤 Personalized career path with technical manager
• 🎤 Speaker opportunities at meetups and conferences
• 🏖️ Flexible hybrid work in Toulouse

📨 Hiring Process

Phone screen, professional interview, technical interview, closing discussion.