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
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
Establish, maintain, and continuously enhance the Configuration Management Database (CMDB)Collaborate with Business Application Owners to define service trees and map infrastructure using ServiceNow Service MappingEnsure integrity, accuracy, and currency of all Configuration Items (CIs)Define, implement, and enforce ITIL-aligned configuration policies, standards, and proceduresAlign asset and configuration data in close cooperation with the Group Competence Center for IT Configuration ManagementSupport the integration of IT Asset Management and Configuration Management processes and toolsWork closely with Change Management, Incident Management, and the Service DeskConduct audits and process reviews, identify discrepancies, and drive corrective actionsTrain, advise, and support IT teams on configuration management best practicesContribute to ITSM improvement initiatives, especially in the areas of automation and tool integration Degree in Computer Science, Information Systems, or a comparable qualification is an advantageStrong understanding of the ITIL framework; certification (ITIL 4 Foundation or higher) is highly desirableProven professional experience in Configuration Management within medium to large IT environmentsSolid knowledge of IT Asset Management and its interaction with configuration dataHands-on experience with CMDB tools such as ServiceNow, i-doit, BMC Remedy, Matrix42, or comparable platformsStructured, detail-oriented, and process-driven working styleConfident communicator, able to collaborate effectively across departments and stakeholder groupsVery good command of English, written and spokenExperience supporting ITSM-related projects, particularly automation and tool integration initiativesConfidence in conducting audits and ensuring compliance across IT processes Fexible working hours and home-office optionExtensive Learning & Development opportunitieLife balance & family-friendly benefitsModern office environment with canteenHealth & sports programs Gehaltsinformationen The minimum annual gross salary for this position is €70,000.
Establish, maintain, and continuously enhance the Configuration Management Database (CMDB) Collaborate with Business Application Owners to define service trees and map infrastructure using ServiceNow Service Mapping Ensure integrity, accuracy, and currency of all Configuration Items (CIs) Define, implement, and enforce ITIL-aligned configuration policies, standards, and procedures Align asset and configuration data in close cooperation with the Group Competence Center for IT Configuration Management Support the integration of IT Asset Management and Configuration Management processes and tools Work closely with Change Management, Incident Management, and the Service Desk Conduct audits and process reviews, identify discrepancies, and drive corrective actions Train, advise, and support IT teams on configuration management best practices Contribute to ITSM improvement initiatives, especially in the areas of automation and tool integration Degree in Computer Science, Information Systems, or a comparable qualification is an advantage Strong understanding of the ITIL framework; certification (ITIL 4 Foundation or higher) is highly desirable Proven professional experience in Configuration Management within medium to large IT environments Solid knowledge of IT Asset Management and its interaction with configuration data Hands-on experience with CMDB tools such as ServiceNow, i-doit, BMC Remedy, Matrix42, or comparable platforms Structured, detail-oriented, and process-driven working style Confident communicator, able to collaborate effectively across departments and stakeholder groups Very good command of English, written and spoken Experience supporting ITSM-related projects, particularly automation and tool integration initiatives Confidence in conducting audits and ensuring compliance across IT processes Fexible working hours and home-office option Extensive Learning & Development opportunitie Life balance & family-friendly benefits Modern office environment with canteen Health & sports programs Gehaltsinformationen The minimum annual gross salary for this position is €70,000.
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).
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.