Stellenangebote für Processes Jobs in Freistadt Bezirk

05.05.25 | Vollzeit | Pregarten | JobLeads GmbH | € 40.000 - € 60.000 Requirements in EPC contracts to ensure alignment with master insurance programs. 5. M&A Support Solicit quotes for reps and warranties insurance, analyze offers, and facilitate processes as needed. Qualifications - Preferably a legal background, with common law experience preferred. - Minimum 10 years

22.04.25 | Vollzeit | Rainbach im Mühlkreis | www.kreiselelectric.comIdeally, several years of experience in a similar position - Very good knowledge of CRM/ERP systems - Strong understanding of processes and good English skills - You have a structured and independent way of working - You are particularly characterized by organizational talent, high motivation and strong

08.04.25 | Vollzeit | Rainbach im Mühlkreis | www.kreiselelectric.comCommissioning and supervision of product/component tests as well as evaluation of results and derivation of necessary measures - Co-design of new processes and guidelines for the development of battery systems Your profile - Completed technical education (HTL, FH, Uni) with a focus on mechanical engineering

01.04.25 | Vollzeit | Rainbach im Mühlkreis | www.kreiselelectric.comMeasurement and calibration act & ordinance, type approvals, etc.) - Collaboration and support in all QM processes and functions - Responsibility for KPI reporting Your profile - Completed technical training (apprenticeship, HTL, university/FH), preferably in the field of mechatronics, mechanical engineering

25.03.25 | Vollzeit | Rainbach im Mühlkreis | www.kreiselelectric.comAlternate alternate alternate oEmbed (JSON) oEmbed (XML) Manufacturing Engineer (f/m/d) Full time Young professional Our team is waiting for you Analysis is your passion and you want to apply your know-how in the conception, roll-out and optimization of manufacturing processes in a solution

03.12.24 | Praktikum | Rainbach im Mühlkreis | www.kreiselelectric.comAnd APIs (FastAPI) - Providing assistance to existing projects in the area of data preparation for machine/deep learning - Research and analysis of state-of-the-art technologies for data generation based on physical processes - Comparison and evaluation of state-of-the-art deep learning methods