Develop IT-security–focused application software using modern C++ (non-embedded) Implement and integrate a Classroom Training System based on Virtual Battlespace 4 (VBS4), including scenario logic and system extensions Build and maintain distributed simulation environments for multi-user training setups Contribute to software design, UML modeling, code reviews, and unit testing Work with tools such as Git/Mercurial, Qt, and Visual Studio Collaborate closely with simulation specialists and customers in the defence sector Prepare technical documentation and communicate effectively in English Successfully completed degree in Computer Engineering (ETH, FH or TH) Solid knowledge of distributed simulators Experience with Virtual Battle Space 4 (VBS4) In-depth knowledge of object-oriented software development with C++ is an advantage Experience in C++ development outside the embedded domain Professional experience in the defence sector is an advantage Practical experience with Git/Mercurial, Qt, Visual Studio, software design / UML, and unit testing is an advantage Strong analytical skills and the ability to quickly understand complex software systems Solution-oriented, innovative, and independent working style Excellent English skills, both written and spoken By applying through Hays, you will be part of a small, well-fitting selection presented to the client for this position Opportunity to gain valuable professional experience at a globally leading company Professional support throughout the application process: We provide valuable tips for your documents and prepare you specifically for interviews Benefit from exclusive access to exciting companies and projects in collaboration with Hays as a reliable and stable partner Ihr Kontakt Referenznummer 863812/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Qualifications & Skills Strong technical communication skills, with the ability to clearly explain concepts and collaborate effectively with both technical and non‑technical stakeholders Advanced computer proficiency, including MS Office (Word, Excel, Outlook) and demonstrated ability to quickly learn and adopt new software platforms, CRM tools, data systems, or automation technologies 4‑year degree in a technical, business, or related field preferred, but not required Experience troubleshooting basic technical issues and navigating systems, dashboards, or digital workflows Ability to thrive in a fast‑paced, technology‑driven environment, managing multiple priorities while meeting deadlines Self‑starter with strong analytical thinking skills, able to investigate problems, interpret data, and follow established processes to completion with minimal supervision Excellent time management, organization, and multi‑tasking skills, with a proactive approach to solving operational or system‑related challenges Ability to work onsite (8:30am–5:00pm) and collaborate closely with technical and operational teams WÜSTHOF is an equal opportunity employer and we are committed to creating a diverse team.
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.
Fluent in English listening, speaking and writing that need to cooperate with USA & Europe colleagues Experience of cooperate with customer service with knowledge of how to fulfill customer's desire for customer complain.Bachelor or above in software engineering, computer science or mechatronics
Your Mission As part of our AI platform team, you will: Work closely with AI Solution Architects, AI Engineers, and cross-functional technical teams to design, develop, and implement AI solutions across our products and services.Build and maintain a scalable, secure, and efficient infrastructure for our AI platform while continuously expanding your expertise in cloud services.Translate business requirements into functional AI solutions — guided by experienced colleagues in an agile development environment.Develop and maintain integrations between our AI platform (e.g., Conversational AI) and internal systems to support diverse business needs.Create demos and proof-of-concepts that showcase AI capabilities and promote AI adoption within the company.Act as a technical expert for our agentic AI platform, supporting other teams in leveraging AI and building their own solutions. What makes you stand out Degree in Computer Science or a related field.4+ years of experience in agile software development with solid understanding of the full engineering lifecycle.Hands-on experience with: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MCP servers and Agentic AI systemsDesigning, building, and deploying advanced AI solutionsExperience with AI cloud platforms (e.g., Azure AI Foundry) and/or conversational AI platforms (e.g., Cognigy).DevOps experience, ideally within Microsoft Azure (ADO).Programming experience in at least one high-level language such as Python, Java, or TypeScript.Experience developing microservices using frameworks like Flask, Django, or Spring (Java).
What makes you stand out Proven experience in RPA development (minimum 3 years) using tools like UiPath, Automation Anywhere, or Blue Prism.Strong programming skills in languages such as C#, .NET, Java, or Python.Knowledge of software development methodologies, Agile frameworks, and version control.Experience with process mapping and business process analysis.Strong problem-solving and debugging skills.Excellent communication skills, with the ability to collaborate effectively with cross-functional teams.Bachelor’s degree in Computer Science, Information Technology, or a related field. What we offer: Attractive benefits packageRegina Maria medical subscription for you and your family according with internal policeMeal vouchersSpecial discounts for gymsAdditional days offDKV card with discount for fuel valid in 25 countriesWhen you are in the office can have free facilities like massage, fruits, coffeeFlexible working hours with home office and flextimeContinuous training and much more...
Dein Profil als Integration Specialist (m/w/d) am Standort Erlangen Proven experience in cloud migration projects, especially GCP to Azure. Degree in Computer Science or equivalent qualification. Strong knowledge of modern development tools (e.g., MS Visual Studio). Proficiency in programming languages (C#, Python, SQL, PowerShell) and interface technologies (REST, JSON).
Dein Profil als Integration Specialist (m/w/d) am Standort Erlangen Proven experience in cloud migration projects, especially GCP to Azure. Degree in Computer Science or equivalent qualification. Strong knowledge of modern development tools (e.g., MS Visual Studio). Proficiency in programming languages (C#, Python, SQL, PowerShell) and interface technologies (REST, JSON).
Assist with quality assurance of activities and educate less experienced colleagues in related areas.Liaises with staff for the development of system enhancements to overcome known problems or further fulfil user requirements Be responsible for the adoption of new software releases from systems development staff or software suppliers and ensuring the continued support of the service thereafter Act as Service Owner for regional service, Global or Top Service By Revenue Be assigned specific project related tasks by Project Manager APPLICATION YOU WILL USE: Unix / Linux commandShell ScriptingOracle SQL WHAT YOU SHOULD HAVE: Degree in Computer Science, Information Systems or equivalent experience 3–5 years of working experience in performing L2 application support of large enterprise application Must have hands on knowledge on scripting languages like Java script and Shell Script.
Review operational costs, negotiate contracts with vendors, and manage vendor relationships. Requirements: Bachelor's degree in Engineering, Computer Science, or a related field. HV Authorised Person (Experienced with HV Systems) Electrical/Mechanical Engineering HNC or HND (Successfully completed apprenticeship in either) C&G Pts. 1 & 2, equivalent or exceeds. 17th Edition IEE: Wiring and Installation (Ability to attain 18th Edition through additional training) C&G 2391 test and inspection; BS 7671:2001 for inspection, testing and certification.