🧠 AI ENGINEER (M/F)

🚀 Context

TheAI Engineer is an expert who designs, develops and deploys intelligent solutions based on machine learning, deep learning, natural language processing or computer vision algorithms. He/she is positioned at the crossroads between data science, software development and AI research. This role has become central in tech companies, AI-first start-ups, R&D labs and major industries seeking intelligent automation.
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🎯 Role & Missions

• Develop AI models adapted to business problems: classification, prediction, recommendation, NLP, vision, etc.
• Participate in modeltraining, validation andoptimization (hyperparameters, regularization, etc.).
• Integrate models into business applications or tech products (APIs, pipelines, edge computing, etc.).
• Collaborate with data, product, MLOps and DevOps teams to ensure a robust release.
• Keep abreast of new models, frameworks, libraries and scientific publications.
• Document work performed and communicate results to stakeholders (non-technical included).
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✅ Profile Wanted

• Higher education in computer science, mathematics, AI or related disciplines (M2, engineering school, PhD appreciated).
• Solid understanding of the fundamentals of machine learning and deep learning.
• Proficiency in tools such as TensorFlow, PyTorch, scikit-learn, JAX...
• Advanced Python programming skills (or even C++/Rust for certain optimizations).
• Comfortable with data environments: Pandas, NumPy, SQL, Spark...
• Good communication skills, technical popularization and multidisciplinary teamwork.
• Experience or appetence in putting models into production (MLOps, Docker, Kubernetes, MLflow...) is highly valued.
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🛠️ Stack Technique

• Languages: Python (essential), SQL, C++ (often useful), Bash
• AI frameworks: PyTorch, TensorFlow, HuggingFace Transformers, XGBoost
• Data & MLOps tools: MLflow, Airflow, DVC, Docker, Kubernetes
• Cloud: AWS, GCP, Azure (with AI/ML Ops component)
• Versioning & CI/CD: Git, GitHub Actions, Jenkins
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💼 Terms & Conditions

• Open-ended contract or freelance, depending on context
• Partial or full remote telecommuting, depending on the company
• Variable remuneration depending on experience (often between €45k and €90k, or even more in innovative structures)
• Possible progression to Lead AI Engineer, Research Scientist or AI Architect
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🌱 Why this position?

• A role with a strong strategic impact: the AI Engineer creates technological building blocks at the heart of the product.
• A constant learning ground, between applied research, advanced programming and mathematical modeling.
• A direct contribution to breakthrough innovations in fields as varied as healthcare, finance, industry and gaming.