Machine learning állások Németországban (gyártás, termelés)

• Develop novel ALD coating processes for optics and photonics applications
• Initiate and contribute to the design and specification of new coating equipment
• Demonstrate ALD machine capabilities through targeted demo coatings for customers, partners, and internal stakeholders

Analyze product sensory and related consumer data utilizing advanced statistic tools to report CAT (consumer affective tests) and QDA (quantitative descriptive analysis) projects. Create product intelligence related to consumer needs beyond regular sensory, gathering and analyzing consumer-centric...

• Driving technical project execution by managing subprojects across timing, budget, and technical scope, ensuring alignment with overall program objectives.
• Conducting manufacturing feasibility analyses (DFA/DFM) and PFMEA for new products to guarantee robust and cost-effective designs.

Conduct field measurement campaigns using Rosenxt measurement technologies....

• Manage, control, and maintain technical data, material masters, bills of materials, and version statuses in ERP and PLM systems
• Ensure the up-to-dateness, correctness, and traceability of documentation for all product configurations—from development to series production

You develop concrete recommendations for design modifications - encompassing geometry, manufacturing processes, and material selection - to maximize our product performance....

• You support the team in overall project management incl. setup, coordination, tracking, analysis, and review
• You facilitate the planning, liaising and implementation of international projects incl. cooperation with internal & external parties or agencies

Define and maintain the product strategy and roadmap for coding & marking equipment in line with company strategy, market trends and customer requirements....

• Lead and coordinate multidisciplinary project teams across all phases of the product lifecycle, from concept to post-launch improvements.
• Plan and control projects, including objectives, scope, deliverables, resources, budget, milestones, and risk management.