Was dich erwartet: Du bist maßgeblich daran beteiligt, innovative AI-Lösungen unter Einsatz von Large Language Models (LLMs) und Voice to Action zu konzipieren und umzusetzen Du spielst eine Schlüsselrolle bei der strategischen Weichenstellung für den Aufbau und der Weiterentwicklung unserer Produkte, um eine effiziente Nutzung von LLMs in journalistischen Anwendungen zu gewährleisten Du entwickelst innovative MVPs für unsere AI Services gemeinsam in einem crossfunktionalen Team bestehend aus AI-, Frontend- und Backend-Engineers, sowie Agentic UX Designern Du hältst dich stets auf dem neuesten Stand der Technologieentwicklung im Bereich der künstlichen Intelligenz und Cloud-Infrastrukturen.
Your Profile Master or PhD degree of Optics, Materials or Engineering.Min. 10 years work experience in opto-electronics industry；min. 5 years with management role.Good knowledge in optical materials, especially on high index wafers, blue glass, filter glass etc.Good knowledge of application of optical glass and/or wafer, and optical module design. Knowledge of metrology system.The ability of analysis and problem solving with creative thinking.The ability of project development, follow-up and management.Fluently spoken and written English and Mandarin.Good communication skills and teamwork spirit.
With our innovative and stylish products from the Dining & Lifestyle and Bath & Wellness segments, we have been creating moments and rooms to feel good in since 1748. Our success is based on the passion, design expertise and innovative strength of our more than 13,000 employees in 42 countries. Want to become part of us? #shapeandcreate Your Mission & Tasks: Strategic AI Scouting: Proactively identify and map existing processes to pinpoint AI-driven automation opportunities (e.g., chatbots, RPA, self-learning agents) leveraging advanced data science methods like Process Mining.
Software Implementation Implement software for new and existing products according to design and coding principles Write effective and comprehensive unit tests Perform integration activities on target hardware and integrate generated code Software Validation & Verification Validate and verify software from unit tests through to flight tests Ensure all requirements are verified in line with program needs Produce test reports to support product release, qualification, and certification Contribute to the overall V&V strategy Release Management & Planning Develop release plans aligned with system development and customer needs Ensure timely availability of releases to customers Follow defined release management processes Software Definition & Design Collaborate with systems engineering and customers to capture high-level software requirements Produce and maintain complete software design documentation for DeckFinder products Define high-level and low-level software requirements Contribute to the overall design strategy Team Contribution Support engineering planning and process improvements Participate in global technical sales support activities Join trials teams for safe and effective deployment of DeckFinder and test assets Qualifications & Requirements Education Bachelor’s degree (or higher) in Computer Science or related field Professional Experience Minimum 4 years in IT/Information Systems Proven experience in software engineering across V-Model responsibilities Strong track record in developing unit and integration tests Experience with airborne systems and DO-178B/C compliance is a plus Technical Skills Proficiency in C (mandatory) Embedded software development expertise (scheduler, U-Boot, firmware, I/O) Experience with MISRA-C standards Working knowledge of Xilinx ARM Cortex SoC Knowledge of C++ (QT), Python, MATLAB/Simulink is a plus Familiarity with Lauterbach Embedded Trace and debugger desirable Experience with Atlassian toolchain is nice to have Additional Skills Team player with a proactive mindset Ability to work in an international environment Strong analytical and problem-solving skills Languages Professional fluency in English (mandatory) German is an advantage Bei uns zählt die Qualifikation – unabhängig von Alter, Geschlecht, Behinderung, sexueller Orientierung/Identität sowie sozialer, ethnischer und religiöser Herkunft.
As part of our team, you will take on the following responsibilities: You are responsible for workforce planning for your assigned area across all relevant planning horizons (VCP, budget and forecast; externally: long‑term planning, budgeting and forecasting) and ensure proactive and efficient resource management.You manage the end‑to‑end monthly, quarterly and annual close processes, including the calculation and posting of personnel provisions, and confidently present the results to external auditors.You perform in‑depth analysis and evaluation of HR KPIs and derive both strategic and operational recommendations for management.You ensure a high level of HR data quality and continuously optimize it as the basis for valid, internationally oriented reporting and meaningful analyses.You take on internal coordination and interface management with international sales organizations and acquired companies, including data preparation and integration into global HR reporting.You are responsible for external coordination with all service providers of sales subsidiaries and acquisitions regarding the provision of HR data, ensuring proper and accurate accounting at all times.As a sparring partner and advisor, you support internal and external stakeholders in all matters related to personnel‑related KPIs within HR controlling.You actively contribute to HR‑related projects, take on sub‑project leadership responsibilities and drive the standardization and further development of the HR KPI system.You support the onboarding and integration of new M&A entities into the group structure (PMI re‑design project). What makes you stand out You hold a completed degree in business administration or a MINT discipline, ideally with a focus on human resources, controlling, statistics, data science or a comparable qualification.You bring a strong understanding of HR controlling, HR reporting and HR processes across the entire employee lifecycle.You have very good knowledge of SAP FI/CO including BW and apply this expertise confidently within the HR controlling environment.You are characterized by a strong analytical mindset and are able to independently create and interpret business cases, comprehensive analyses and variance analyses.You have experience working in international initiatives and projects, for example in optimizing planning and reporting processes, and demonstrate a structured and solution‑oriented approach.You possess strong communication skills and act confidently as a point of contact and advisor for management within your areas of responsibility as well as for other internal and external stakeholders.You demonstrate a high level of technical affinity and work with Excel at expert level.
Your Contribution Assist with the development and implementation of new products, processes, equipment, and controls.Prepare and executes design sheets for drawing fiber optic material made from various glass components.Operate various complex equipment including drawing, fusing, finishing, polishing, and inspection equipment.Coordinate experiments, compiles data, documents results, and writes technical reports.Prepare process documentation for newly developed products and processes.Participate in manufacturing engineering task force meetings to ensure effective transfer of technology to Manufacturing.May require some travel domestic and international including customer and internal meeting and conferences.
From the initial concept to series production, you will oversee the development of the latest generation of HV DC/DC converters and on-board chargers within the energy management department. As part of an international development team, you will design and take responsibility for the system architecture of an embedded multi-sensor and multi-controller system. You will further analyze technical relationships and their impacts, ensuring the reliable implementation of system properties within the system architecture using SysML.
Company description Aliaxis is a leading technology company that designs sustainable, easy to install, and innovative fluid management solutions. Over 15,000 people have selected to work for us in more than 40 countries, meeting our customers’ most demanding needs for pipes and fitting systems in building, infrastructure, industrial and agriculture sectors.
Perform advanced load simulations for class-based and site-specific conditions, including conceptual studies for new design approaches. Collaborate with multidisciplinary teams to optimize controller functions and support component design. Plan and execute load assessment tasks for research, sales, and service-related projects using advanced aero-elastic simulation tools.
Key Responsibilities Define and steer the Smart Factory vision: Develop a future-oriented concept for production sites and translate strategic objectives into actionable digital transformation roadmaps.Shape and implement the Digital & AI strategy: Design a forward-thinking digitalization agenda that leverages AI and data-driven solutions in a smart, scalable way, maximizing impact and simplicity while avoiding unnecessary complexity.Lead transformation initiatives: Drive implementation of digital platforms, scalable architectures and AI-enabled applications to enhance transparency, efficiency and value delivery.Foster an AI-literate, innovation-driven culture: Promote cross-functional collaboration and empower teams to embrace new technologies positively and confidently.Provide leadership and organizational oversight: Lead regional service hubs and development teams as part of the global digital transformation organization to ensure accountability and performance.
Contribute to the co-design of automotive radar antennas and radar modulation techniques. Participate in the evaluation and selection of new processor architectures and upcoming hardware generations.
Company description 💧 Aliaxis is a leading technology company that designs sustainable, easy to install, and innovative fluid management solutions. Over 15,000 people have selected to work for us in more than 40 countries, meeting our customers’ most demanding needs for pipes and fitting systems in building, infrastructure, industrial and agriculture sectors.
Provide scientific, clinical, and operational advice to internal stakeholders developing proposals: this may include, but is not limited to, providing the strategy to protocol design/clinical development plan, mining data to address important clinical questions relevant to the study, reviewing the protocol for scientific/regulatory soundness and feasibility, logistics challenges, identification of target site and principal investigator profiles, anticipated patient recruitment, standard of care and competitive landscape.
Clinical and market insight: Collect product performance and user feedback for R&D, MACA, and commercial teams to inform life cycle management, next-generation innovations, clinical study designs, and commercial strategies. Share insights, best practice, and data with national and regional MSL networks. Cross-functional collaboration and influence: Partner with internal cross-functional teams, including MACA, R&D, Regulatory, Marketing and national Market Access, to ensure integration of insights into our strategies.
Become part of our diverse, dedicated and unique team! What you can expect You will design the service delivery strategy for our micro and small business customers across Europe. In doing so, you will ensure that every digital and personal touchpoint inspires enthusiasm while continuously increasing the profitability of our e-commerce business.You will lead and develop your team of QA managers, customer journey experts, credit managers and business analysts, both professionally and disciplinarily.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed.