Data & IA Engineer (F/H)
Core
Design, develop, and industrialize data and AI solutions, transforming data into performance levers and building innovative AI products and models for clients.
Role type
Senior Machine Learning Engineer (MLOps & Generative AI)
Builds
Production-ready AI models, data pipelines, and MLOps infrastructure for client products
Domain
Consulting, Data Science, Artificial Intelligence, Generative AI
Deliverable
production ML models
Required skills
Python, SQL, Machine Learning, Deep Learning, NLP, TensorFlow, PyTorch, Hugging Face, LLMs, fine-tuning, RAG, DPO, SFT, MLOps, CI/CD, Docker, Airflow, dbt, MLflow, Datadog, Cloud (AWS/Azure/GCP)
Preferred skills
Generative AI architecture, POC design, data/IA architecture
Responsibilities
Develop and industrialize machine learning and AI models (training, deployment, monitoring); Design and implement robust data pipelines for AI models; Contribute to AI solution production via MLOps practices; Collaborate with data, software, and business teams to design high-impact AI products; Ensure quality, reliability, and ethics of models and data; Contribute to technology scouting and knowledge sharing within the AI community
Seniority
Senior, hands-on IC
