🚀 We are hiring: AI Platform / ML Engineer 🚀⚠️ READ BEFORE APPLYING ⚠️At Primaa, we build precision instruments to fight cancer. Because we value attention to detail and technical rigor, we do not use the LinkedIn "Easy Apply" feature.To ensure your application is reviewed by our technical team, please follow this manual process (our first "reading & rigor" test):1️⃣ Email: jobs-ai@primaalab.com2️⃣ Subject Line: AI Platform Engineer - [Your Name]3️⃣ Attachment: Your CV in PDF.4️⃣ The "Two-Sentence" Challenge: In your email (no cover letter!), answer this in 2 sentences max: "What do you think ML engineers most often underestimate when moving models from research to production?"_____________________________________________________________________About PrimaaBased in the heart of Paris, Primaa is a MedTech company revolutionizing pathology. Our mission is clear: supporting doctors in the fight against cancer. We develop cutting-edge AI-based diagnostic tools that enable pathologists to analyze samples with unprecedented speed and accuracy. At Primaa, AI isn't just a buzzword; it’s a precision instrument.The ContextOur technical daily life is far from ordinary: we work with Whole Slide Images (WSI). We’re not talking about standard photos, but multi-gigabyte files exceeding one billion pixels. To bridge the gap between research and clinical impact, your goal is: industrialization and scalability.Your Role: You will be the Architect of our AI Factory, designing the software infrastructure capable of handling massive volumes of Gigapixel data.The Challenge: Automate calibration pipelines and optimize tiling/storage to ensure our models scale seamlessly. If you enjoy solving complex I/O problems, you’re in the right place.MissionsIndustrialization: Secure and enhance research-to-production workflows.Orchestration & Serving: Become our go-to expert for experiment tracking, resource orchestration, and model serving.Automation: Automate model calibration and dataset/model versioning.Standardization: Advocate for software best practices (Clean Code, CI/CD, Testing) within the R&D team.ProfilePython Seniority: 3 to 5 years of experience with a strong Software Engineering approach.AI Lib Fluency: PyTorch, OpenCV, Scikit-learn.Platform Mindset: Experience with MLOps frameworks (experiment tracking, model registries, pipelines)."Enabler" Spirit: You take pride in building robust systems that make your colleagues faster and more efficient.High-Volume Data: Comfortable handling large-scale datasets and optimizing data flows.