Supervisor de Confiabilidad
Core
Deploy maintenance strategy, define reliability KPIs, and develop AI/ML models for predictive maintenance in port terminal operations.
Role type
Reliability Supervisor with advanced data science and AI capabilities
Builds
Predictive maintenance models and reliability management systems for port equipment
Domain
Maritime logistics / Port operations / Industrial maintenance
Deliverable
production ML models
Required skills
Reliability engineering (Weibull analysis, MTBF, MTTR, RCA), Machine Learning, Python programming, Statistical analysis, LCC analysis, Power BI, Advanced English
Preferred skills
CMRP/ICOGAM/MLA certifications, Lean methodology expertise, A1 driving license
Technologies
Python, Machine Learning, Weibull analysis, Power BI, Excel
Responsibilities
Deploy maintenance strategy per policy deployment, Define reliability indicators (MTBF, MTTR, Quality, Maintainability, LCC, Availability), Apply Weibull analysis for component life extension, Facilitate AFA, RCA, AMEF, PMO, RSA, P-F, CBM, RAM meetings, Develop AI using ML and Python, Conduct LCC analysis, Present Kaizen initiatives, Manage external vendor meetings for reliability activities, Report on area management performance