Job description:

• Development, implementation and training of machine learning models for valve terminals and valves.
• Analysis of large data sets (big data) to identify patterns.
• Integration of MLOps pipeline to automate and optimize the model development and deployment process.
• Carrying out tests and statistical analyses to validate machine learning models.
• Preparation of necessary development documentation.
• Collaboration with interdisciplinary teams.

Requirements:

• Successfully completed studies in electrical engineering, computer science, mathematics, statistics or a related field.
• Sound knowledge of machine learning techniques and algorithms.
• Experience with the Python programming language.
• Experience in the implementation of AI models in an embedded environment.
• Knowledge of programming in C and C++ for embedded systems desirable.
• Knowledge of conventional machine learning frameworks (e.g. TensorFlow, Weight & Biases, or similar) is an advantage.
• Analytical thinking and strong problem-solving skills.
• Good written and spoken German and English skills.
• Ability to work in a team in a multicultural environment with excellent communication skills.

You can expect the following with us:

• Motivating compensation and social benefits package
• Opportunity to work on a variety of projects in the field of industrial automation, IIoT and robotics;
• Professional development and learning opportunities in high technology and production environment.

In case your professional qualification corresponds to the above requirements and you wish to join our growing team, please send us your CV and a cover letter. 

Only shortlisted applicants will be contacted. Your documents and personal data will be treated as confidential and will be protected according to Bulgarian Data Protection Legislation and the General Data Protection Regulation 2016/679 (GDPR).

HR contact person: Doli Vuchkova, careersbgproduction@festo.com

Reference code: 13350