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Job Description
Structured overview of role & requirementsAbout This Role
Develop and industrialize scalable data engineering and AI/ML solutions for global manufacturing operations focused on predictive maintenance, quality, process optimization, yield, productivity, and operational excellence.
Build data pipelines, ETL processes, data models, and data-lake solutions; develop AI/ML and Computer Vision models for industrial applications including inspection and defect detection.
Industrialize POCs into production-grade AI/ML applications using MLOps/DataOps practices, deploy solutions across cloud, on-premise and industrial edge environments, and create dashboards to monitor manufacturing KPIs like OEE, FPY, Yield, Cycle Time, and Downtime.
Minimum Requirements
3 to 8 years of experience in Data Science, AI/ML Engineering or Industrial Analytics with at least 2 years delivering production-grade AI/ML solutions.
Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related field.
Experience in Manufacturing, Smart Factory, Industrial IoT, or Operational Excellence preferred.
Proficiency in English; French language skill is a plus but not mandatory.
Ideal Candidate Profile
Experienced in deploying AI/ML and Computer Vision solutions in manufacturing or industrial environments with a focus on operational impact.
Skilled in data engineering and MLOps/DataOps best practices for production-level industrial analytics solutions.
Comfortable coordinating with cross-functional global teams including Manufacturing, Industrial Engineering, Quality, Maintenance, and IT/Data functions.