All candidates will get training of ZNT products and tools in Germany, and work closely with your colleagues in Germany and Asia.Bachelor degree in computer science with at least 2 years of work experienceSelf starter to drive and rollout systems yourselfExperience with project managementSound understanding of the manufacturing industry and its automation processes, preferable in the semiconductor or medical device industryExperience with the following is a plus: Equipment interfacing, to control equipment from other systems, as well as to collect data from those systemsEquipment characterization - SECS/GEMExperience with MES systemsExperience with APC and SPCReporting systemsExcellent communication skills, commitment and flexibilityTeam builder, as well as with your colleagues as with the customer Betriebliche Altersvorsorge Aus- und Weiterbildung Flache Hierarchien und kurze Kommunikationswege Flexible Arbeitszeiten Gesundheitsmaßnahmen Mobiles Arbeiten International work environment, with high tech professionals and solutions, working with global leaders, being your customers as well as solution providers.A growing company, with great future career opportunities401K and healthcare planMarket conform salary Interessiert?
Tasks: Structure and manage data knowledge, sensitivity, and quality to ensure usability and accessibilityProvide the right digital solutions at the right cost for the right users, ensuring simplicity, consistency, and sustainabilityApply the security-by-design principle in the design, improvement, and development of digital assetsEnsure compliance with security standards and regulations across multiple countries and divisionsDeliver secure digital solutions in internal and external projects, supporting all service lines in GermanyDrive compliant ways of working through awareness, best practice sharing, and contribution to cross-functional FMRE projects Skills: Completed studies in Project Management, Computer Science, or a digital disciplineSeveral years of professional experience in interface management and in IT / information systems Experience in data analytics and data managementGood knowledge of project management and risk managementBusiness fluent English Skills and proficient German language skills, French is a plusExcellent communication and presentation skillsWillingness to travel occasionally within Germany and to France Our offer: An unterminated employment contractA far above-tariff remunerationAn interesting job that corresponds to your qualifications Application process: If you want to apply directly, please send us your CV by e-mail or via the online application offered.
Your tasks Design, develop, and implement control system software for industrial automation projects Program PLCs (Programmable Logic Controllers), HMIs (Human-Machine Interfaces), SCADA (Supervisory Control and Data Acquisition) systems, and other control devicesCollaborate with engineering teams to define system requirements and specificationsPerform system integration, testing, and troubleshooting to ensure optimal performance and reliabilityProvide technical support and assistance during installation, commissioning, and maintenance phasesStay current with emerging technologies and industry trends to drive continuous improvement and innovation Your profile Bachelors degree or equivalent in Electrical Engineering, Computer Engineering, Software Engineering or related fieldProven experience in programming and configuring PLCs, preferable Siemens SIMATICProficiency in programming languages commonly used in industrial automation, such as ladder logic, structured text, and function block diagramFamiliarity with HMI or SCADA software, such as WinCC, Zenon or InTouch.Strong problem-solving skills and attention to detailExcellent communication and interpersonal abilitiesAbility to work independently and as part of a team in a fast-paced environment Additional information Competitive salary commensurate with experience Comprehensive benefits package, retirement plans, and paid time offOpportunities for professional development and advancementCollaborative and inclusive work environmentExposure to diverse projects and industries
Unsere Technologien verstecken sich in vielen Bereichen des Alltags und begegnen Ihnen öfter als Sie denken: beispielsweise in Smartphones, auf Glasfassaden, in Solar- und PV-Anlagen oder auch in Mikrochips für die Computer- und Kommunikationsbranche. Deine Aufgaben Smartphones, Smart Homes, Smart Factorys – die Elektrotechnik verändert unsere Welt nicht nur im privaten Bereich, sondern stellt auch die Industrie auf den Kopf.
STELLENDETAILS: Einsatzort: 82234 Weßling Branche: Luft-/Raumfahrttechnik Beruf: Bachelor’s degree in Computer Science, Information Systems Tätigkeitsbereich: Produktion/Produktionsplanung Art der Anstellung: Arbeitnehmerüberlassung Befristung: unbefristet
Any other languages such as French would be an advantage;You combine technical skills (data management and analysis) with strong functional skills (communication and project management);Knowledge of and experience with the implementation of national and international regulations related to sustainability, due diligence and/ or climate;A pragmatic personality with a broad interest, high sense of ownership, entrepreneurial work ethic, hands-on mentality, excellent interpersonal skills and a flexible, solution-driven mind-set;You have a structured way of working and enjoy working both independently and in a team;Proficient computer skills (Office package);Excellent communication skills, across all levels of our organisation, both verbal and written, are crucial elements of your profile; As a Sustainability Coordinator (Maternity leave cover) we offer you: A fully immersive role in our world of chocolate.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g. OpenCV, TensorFlow, PyTorch) Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g.