As Reed Turkey, we are looking for a "Vision Systems & Automation Expert" with the below requirements for our international manufacturing client.
RESPONSIBILITIES
- Develop and implement machine vision solutions for manufacturing, testing, and assembly systems.
- Design, optimize, and standardize vision architectures, image-processing algorithms, and inspection concepts.
- Analyze technical requirements and assess the feasibility of vision, software, and automation solutions.
- Create technical concepts, proof-of-concepts, and feasibility studies for new technologies and applications.
- Collaborate closely with Engineering, Production, Quality, IT, Maintenance, and external suppliers throughout project execution.
- Support the development of scalable and reusable software components and automation architectures.
- Lead commissioning, validation, optimization, and continuous improvement activities for vision systems.
- Evaluate and implement emerging technologies in industrial vision, artificial intelligence, and machine learning.
- Contribute to global standardization and knowledge-sharing initiatives across manufacturing sites.
QUALIFICATIONS
- Bachelor's degree in Automation Engineering, Electrical Engineering, Computer Science, Mechatronics, or a related field.
- Experience with industrial vision systems, image processing, and automated inspection technologies.
- Experience in automation systems and PLC programming.
- Knowledge of software development and programming languages such as Python, C#, or C++.
- Understanding of machine vision integration within manufacturing environments.
- Knowledge of industrial communication protocols and automation architectures.
- Experience in system commissioning, troubleshooting, and optimization.
- Strong analytical thinking and problem-solving skills.
- Experience working in cross-functional and international environments.
Good command of English.
NICE TO HAVE
- Experience with AI-based vision applications and machine learning.
- Experience with databases and traceability systems.
- Knowledge of machine safety, validation, and risk assessment.
- Experience with global manufacturing projects.
