Ingénieur Machine Learning - MLOps Senior H/F
Core
Develop and industrialize AI/ML solutions for analyzing complex 3D industrial digital twins to automatically generate recommendations for pipe anchoring positioning.
Role type
Senior Machine Learning / MLOps Engineer
Builds
Production ML and Deep Learning models, MLOps pipelines, and scalable AI solutions for industrial data processing.
Domain
Nuclear engineering, industrial digitalization, 3D modeling, Big Data
Deliverable
production ML models | product features | infrastructure
Required skills
Machine Learning, Deep Learning, MLOps, Python, Big Data processing (Spark, Hadoop), AI architecture design, model deployment and monitoring, technical leadership
Preferred skills
Dataiku platform, Generative AI, Agent systems, experience in regulated/critical industrial environments
Technologies
Python, Spark, Hadoop, Dataiku, 3D modeling tools
Responsibilities
Design and develop ML/Deep Learning models for industrial problems, structure large volumes of technical 3D data, implement robust MLOps pipelines, choose technical stack and architecture, deploy and monitor models in production, collaborate with business and technical teams, participate in audits and POC phases
Seniority
Senior, hands-on IC with technical leadership
