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.
0–5 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.

Our client is an equal opportunity employer.