Description
Introduction
Aperam is a global producer of stainless, electrical and specialty steel. With 9,500 employees of 47 nationalities, 2.5 million tons of flat stainless steel capacity in Brazil and Europe, and an industrial network concentrated in six main production facilities across Brazil, Belgium and France, Aperam is a truly global industry leader.
As part of our manufacturing strategy, Aperam is reinforcing her efforts on Industry 4.0 to further strengthen her digital transformation journey. One of the key pillars in industrial innovation is the use of computer vision to rapidly accelerate the improvement of various disciplines from raw material, operation, quality, safety to automation. Given our strong growth demand, we are expanding our industrial innovation team to further support this development.
Responsibilities
You are:
a passionate team player who possesses a deep understanding of the principles and technologies that drive the transformation of industries towards Industry 4.0
Your daily responsibilities will include:
Utilising your strong background in engineering and your passion for leveraging data-driven insights to optimise Aperam industrial processes, contribute to the advancement of digitalization and automation in the industrial sector:
1. Design, develop, and implement robust data architectures and pipelines which are outside of the standard IT infrastructure but specific to innovative solutions of required business needs to support data collection, integration, and processing from various sources, which in this case are often camera images, industrial sensors, PLCs.
2. Ensure data integrity, quality, and scalability while considering the specific requirements of these specific innovative industrial 4.0 applications, develop efficient data integration processes to enable seamless data flow across different platforms and technologies.
3. Work closely with business to understand the user requirements of application, provide fit-for-use data analysis and insights, using statistical analysis, machine learning (ML), artificial intelligence (AI), and predictive modelling techniques to derive actionable insights from these data sources.
4. Industrial IoT Integration by collaborating with cross-functional teams to integrate industrial IoT technologies, including sensors, edge devices and communication protocols and technologies, to enable both real-time and deferred data intelligences.
5. Integrate/ develop solutions with existing industrial automation systems (PlCs, DCS, SCADA) to enhance operational efficiency, real-time monitoring and control.
6. Lead the IT integration of robotic applications (e.g. AGVs or robotic arms) by designing the data exchange between robot controllers, vision systems and the central IT infrastructure to enable automated decision making.
7. Design and development of solutions particularly in user visualisation and interface to allow value generation in business applications.
8. Stay abreast of the latest advancements in data engineering application and Industrial 4.0 technologies. Continuously update skills and knowledge to drive innovation and leverage emerging technologies
Qualifications
Skills and Qualifications
Educational Background
* Bachelor's degree in Electrical Engineering, Automation Engineering, Computer Science, or a related field.
* Software development experiences (>5) are strongly desired with successful track records using software development methodologies, version control systems, and software testing (SiL).
Technical Skills:
* Proficiency in programming languages such as Python, C/C++, R, and SQL, familiarity with data manipulation, ETL processes, big data technologies, are strongly desired.
* Affinity towards current industrialisation data communication protocols (Modbus, Profibus, OPC, MQTT, ROS/ROS2), and Internet of Things (IoT) concept and technologies, including sensor integration, data acquisition, edge computing, connectivity protocols.
* Experience with robot programming environment (Fanuc, KUKA, ABB) and their connectivity interfaces is considered a strong plus.
* Experiences in Machine learning algorithms and frameworks (Pytorch, Keras, TensorFlow…) are a very strong plus.
Soft Skills & Work Approach:
* Ability to manage and execute industrial IT projects, including requirements gathering, planning, resource allocation, and coordination. Understanding of project management methodologies like Agile or Waterfall.
* Result-driven: focus on the fast implementation and speed delivery.
* Fluent in English, some knowledge of Dutch/French is a plus to enable you to exchange with local operations
Why Join Us?
* Work on cutting-edge industry in an innovative steel manufacturing environment.
* Be part of a high-impact team where your work directly improves production efficiency and quality.
* Enjoy opportunities for career growth, training, and working on global projects.