
Digital Innovation Specialist
1 week ago
The role of a Digital R&D Engineer involves contributing to the development and implementation of cutting-edge technologies that enhance product performance and customer experience. You will work closely with cross-functional teams to design, test, and validate new solutions using advanced digital tools and techniques.
Supporting field testing and proof of concepts is crucial to ensure new technologies meet performance and reliability standards. Additionally, you will provide technical expertise to drive innovation across the organization, conduct market research, and support product development.
The ideal candidate will have a strong background in engineering and mechatronics, as well as practical knowledge of mechanical mining equipment, including hydraulic, pneumatic, and electronic systems. Experience with Industry 4.0 technologies, sensors, predictive maintenance, and electrical automation cabinet design is highly desirable.
Key Responsibilities:
- Design and Implement Digital Solutions: Utilize IoT, AI, and machine learning to improve product performance and customer experience.
- Support Testing & Validation: Assist in proof of concepts and field testing to ensure new technologies meet performance and reliability standards.
- Collaborate & Align: Work closely with Technology Product Managers and cross-functional teams to ensure solutions align with strategic goals and are efficiently executed.
- Provide Technical Expertise: Offer guidance on digital technologies, solve complex problems, and drive innovation across the organization.
- A bachelor's degree in Mechatronics or Automation Engineering , Information technology, computer science, Electrical, E & C, or a related field
- At least 4-6 years of proven experience in a similar field
- Practical knowledge of mechanical mining equipment, including hydraulic, pneumatic, and electronic systems, with experience in engineering design and failure analysis
- Familiarity with Industry 4.0 technologies, sensors, predictive maintenance, and electrical automation cabinet design, including component selection
- Experience with deep learning algorithms, big data analysis, high-speed data logging, and managing data storage and databases
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