Graduate Maintenance Systems & AI Development Engineer

Salary: Market Related
Location: Germiston
Employment type: 12 month fixed-term contract
Working arrangement: On-site

Our client is seeking a Graduate Maintenance Systems & AI Development Engineer to help design build and implement a maintenance and asset management platform. Working with senior engineering leadership and software developers the successful candidate will support asset management equipment reliability and the development of AI-supported maintenance solutions.

Responsibilities

• Develop equipment asset registers asset hierarchies and equipment coding standards.
• Collect and verify equipment technical data assess equipment criticality and assist with maintenance Bills of Materials.
• Establish maintenance task libraries and preventive maintenance strategies.
• Gather user requirements document maintenance workflows and translate engineering needs into software development specifications.
• Assist with the design configuration testing and deployment of maintenance and asset management systems.
• Develop dashboards reports and tools to monitor maintenance performance indicators.
• Identify opportunities for AI-supported workflows predictive maintenance and mobile inspection solutions.
• Build datasets for future machine learning applications and evaluate technologies for maintenance optimisation.
• Analyse equipment performance and failure data support root cause investigations and assist with maintenance strategy optimisation.
• Capture clean and maintain accurate maintenance data and develop standard operating procedures and work instructions.

Requirements

• Grade 12/Matric.
• BEng or BSc Eng in Mechanical Industrial Mechatronic or Electrical Engineering or a related field.
• 05 years working experience. Graduate applications are encouraged.
• Exposure to maintenance environments would be advantageous.
• Knowledge of computerised maintenance management systems (CMMS) enterprise asset management systems (EAMS) reliability engineering principles and asset management concepts.
• Knowledge of data analytics and AI tools and applications.
• Knowledge of Microsoft Power Platform Excel Power BI and C#.NET.
• Exposure to Python SQL SYSPRO database design AI-assisted software development or machine learning fundamentals would be advantageous.