Development and implementation of integration and verification strategies in line with project planning, with the aim of successfully advancing innovative and intelligent products Definition, further development and continuous optimisation of overarching verification methods based on system requirements and use cases Planning and ensuring all verification activities in terms of schedule, infrastructure, budget and quality standards Coordination, implementation and monitoring of test processes in close cooperation with development departments and verification teams Analysis of test results, risk assessment and derivation of appropriate measures to improve quality Definition of series tests taking into account risk analyses and statistical methods Close cooperation with project managers, development and verification engineers, validation managers and external partners. Completed degree (ETH/university/technical college) in computer science Extensive experience as a test manager and in testing complex, interdisciplinary systems Extensive professional experience in E2E IoT system testing and UI profile testing In-depth knowledge of cloud platforms, device cloud communication, IoT architecture and mobile & apps In-depth knowledge of build, release and DevOps environments as well as test automation.
Responsibilities Lead end-to-end implementation and migration projects for enterprise clients Define and document target architectures, integrating SCAYLE with client systems (ERP, PIM, CRM) Provide guidance on SCAYLE platform capabilities, APIs, and composable commerce Translate business requirements into technical specifications and actionable work packages Collaborate with external partners to ensure delivery quality and standards compliance Review and validate integrations: REST APIs, webhooks, and asynchronous data flows Support cross-functional teams in resolving technical blockers Requirements Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field 5+ years in enterprise ecommerce architecture, digital consulting, or technical lead roles Proven experience leading large-scale SaaS or MACH replatforming projects Deep knowledge of e-commerce architectures: Storefronts, OMS, PIM, CMS, ERP ntegrations Expert in MACH principles (Microservices, API-first, Cloud-native, Headless) Hands-on experience with REST APIs, webhooks, and event-driven architectures Strong problem-solving, consultative mindset, and clear communication skills YOU ARE THE CORE OF OUR COMPANY We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities and ethnicities feel welcomed and accepted exactly as they are.
Du interessierst dich besonders für: Computer Vision. Action Recognition und Human Pose Estimation. Deep Learning (z. B. CNNs, Transformer-basierte Architekturen). Verarbeitung und Analyse von Video- und Bilddaten.
Rethink Retail: Stay in front of emerging trends, analyze, and design next-gen business processes across omnichannel environments. What You Bring Education: Degree in Computer Science, Information Technology, Management Information Systems, or relevant discipline. Experience: Strong experience in the Central/Latin America retail market and POS process knowledge.
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. Our Ideal Candidate Will Have: Master’s degree in Computer Science, Mathematics/Statistics, Economics/Econometrics or related field.Substantial years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience with research in machine learning algorithms.Very good knowledge and in depth understanding of Machine Learning methods, both classical and deep learning models.Relevant experience with Natural Language Processing (NLP) models for extracting structured concepts from unstructured free text, including the design, training, and evaluation of information‑extraction pipelines.Very strong technical capability in Python, SQL, Hadoop ecosystem.Experience applying AI/Machine Learning methods to business questions.Very good knowledge of the higher statistical and econometric methods in theory and practice.Experience with handling Big Data.Ability to write clean, reusable, production-level codeExcellent communication skills (written and oral) including technical aspects of a project, ability to develop usable documentation, results interpretation and business recommendations.Strong analytic mindset and logical thinking capability, strong QC mindset.Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data) would be a plus, but not a must.Self-responsible for managing projects.Fluency in German & English.
Azure ML, Azure Databricks) oder anderen Cloud-Lösungen Mehrjährige Projekterfahrung im Bereich Data- & Analytics-Architekturen sowie erste konkrete Erfahrung in AI-Projekten (z. B. Forecasting, Klassifikation, NLP, Computer Vision) Tiefgreifendes fachliches Verständnis und Umfassende technologische Expertise und tiefes fachliches Verständnis, erworben in zahlreichen Projekten über verschiedene Branchen hinweg Wünschenswert fundiertes (zertifiziertes) Know-how im agilen Produkt- und (Multi-)Projektmanagement (z.
Mentor junior developers and contribute to technical leadership within the team. Your Profile: Degree in Software Engineering, Computer Science, Computer Engineering or related technical discipline 5+ years of experience in Java backend development, with strong expertise in Spring Boot and microservices architecture.
Mentor junior developers and contribute to technical leadership within the team. Your Profile: Degree in Software Engineering, Computer Science, Computer Engineering or related technical discipline 5+ years of experience in Java backend development, with strong expertise in Spring Boot and microservices architecture.
What makes you stand out Required Qualifications: You hold a degree in Computer Science or a related field and have 3+ years of experience in agile software development, with knowledge of the full engineering lifecycle.You have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MCP servers, agentic AI, and other advanced AI solutions, including practical experience in building and deploying such systems.You are familiar with AI cloud platforms such as Azure AI Foundry and/or conversational AI platforms (e.g., Cognigy), have hands-on DevOps skills ideally in the Azure Cloud (ADO), and bring basic knowledge of cloud technologies, preferably Microsoft Azure.You are familiar with programming fundamentals in at least one high‑level language such as Python, Java, or TypeScript, ideally developing microservices using frameworks such as Flask, Django, or Spring (Java).You communicate clearly and effectively in English and German.