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Predictive Maintenance Engineer Services H/F - La Rochelle (CDI)

Alstom
La Rochelle, France Posted Jul 13, 2026
On-site

About this role

About the Role We are seeking a Predictive Maintenance Engineer Services H/F in CDI to develop and implement predictive maintenance for high-speed trains, collaborating with cross-functional teams to improve the reliability and availability of TGV trains. What You'll Do

  • Develop and implement algorithms for detection and classification of anomalies in time-series data from train components, and define state indicators based on signals.
  • Validate predictive maintenance logic using train data and field feedback from maintenance services.
  • Perform comparative and experimental studies on new data recorded during pre-series and commercial service phases.
  • Produce internal and client documentation; collaborate with experts to establish explainable links between signals and system behavior.
  • Industrialize predictive maintenance solutions and stay up-to-date with the state of the art.
  • Manage data volumes, explainability of results, and alert handling.
  • Collaborate with teams specialized in tele-diagnosis, testability, electronics, data analysis, big data and systems. What We're Looking For
  • Engineering degree in computer science, electrical or electronics.
  • Significant experience (5+ years) in predictive maintenance.
  • Excellent Python coding skills.
  • Strong written and spoken French and English.
  • Strong synthesis and technical writing abilities.
  • Autonomy and initiative.
  • Familiarity with time-series data and anomaly detection/classification algorithms. Nice to Have
  • Experience with tele-diagnosis, testability, electronics, data analysis, big data and systems.
  • Familiarity with railway sector and industrial environments.
  • Knowledge of signal processing and explainable AI. Compensation & Benefits
  • Career stability and long-term development with opportunities to work on cutting-edge predictive maintenance.
  • Collaborative, inclusive environment and cross-functional teamwork.
  • Training programs and clear path to leadership or expert roles.
  • Competitive remuneration and comprehensive social benefits (life, health, pension).

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