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Ingénieur Machine Learning - MLOps H/F
Summary by AIEngineer.careers
Ingénieur Machine Learning - MLOps H/F is a MLOps Engineer role (full-time). with ASSYSTEM. in COURBEVOIE, FR. Imported listing (source: usinenouvelle.com). Apply on the employer's site (usinenouvelle.com).
Imported listing (source: usinenouvelle.com) · Apply on usinenouvelle.com
COURBEVOIE · FR
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from usinenouvelle.com
Assystem is seeking a Machine Learning/MLOps Engineer to develop and industrialize AI solutions for the nuclear industry. The role focuses on analyzing complex 3D digital models to automate piping anchor positioning recommendations using historical design data. You will be responsible for building robust MLOps pipelines, managing large-scale technical datasets, and deploying scalable ML models in production.
Responsibilities
- Design, develop, and industrialize Machine Learning and Deep Learning models for industrial applications
- Build and maintain robust MLOps pipelines ensuring automation, reproducibility, and maintainability
- Process and structure large volumes of technical data from 3D digital mockups and industrial systems
- Deploy, monitor, and continuously improve AI models in production environments
- Collaborate with business experts to translate operational needs into concrete AI solutions
- Participate in technical audits, scoping, POCs, and full industrialization phases
Requirements
- Experience in designing and implementing ML/DL models for complex industrial problems
- Strong background in MLOps practices, including pipeline automation and model monitoring
ASSYSTEM
Courbevoie · FR · 7740+ employees
Assystem is an international engineering and project management company committed to accelerating the energy transition. It provides engineering services, project management, and digital solutions to optimize the performance of complex infrastructure assets, particularly in the nuclear energy sector.
