Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systemsSupport model development by assisting with training, validation, and optimization of machine learning workflowsConduct data analysis to extract insights and provide clear reports supporting R&D research questionsSolve technical challenges related to data access, pipeline performance, and software limitationsEnsure continuity of ongoing projects by aligning closely with the core team and delivering on timelinesPerform image analysis and prepare datasets required for scientific and ML use casesManage and improve ETL processes to ensure data quality, structure, and availabilityDocument workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative fieldStrong proficiency in Python with expertise in scientific and analytical librariesSkilled in SQL and working with relational databasesUnderstanding of ETL concepts and practical experience working with data pipelinesSolid foundation in machine learning principles and model lifecycleAbility to perform image analysis for scientific or research applicationsStrong communication and interpersonal skills with the ability to collaborate in a technical teamIndependent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impactHands-on involvement in AI, machine learning, and data integration challenges in a scientific environmentClose collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
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 extensionsBuild and maintain distributed simulation environments for multi-user training setupsContribute to software design, UML modeling, code reviews, and unit testingWork with tools such as Git/Mercurial, Qt, and Visual StudioCollaborate closely with simulation specialists and customers in the defence sectorPrepare technical documentation and communicate effectively in English Successfully completed degree in Computer Engineering (ETH, FH or TH)Solid knowledge of distributed simulatorsExperience with Virtual Battle Space 4 (VBS4)In-depth knowledge of object-oriented software development with C++ is an advantageExperience in C++ development outside the embedded domainProfessional experience in the defence sector is an advantagePractical experience with Git/Mercurial, Qt, Visual Studio, software design / UML, and unit testing is an advantageStrong analytical skills and the ability to quickly understand complex software systemsSolution-oriented, innovative, and independent working styleExcellent 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 positionOpportunity to gain valuable professional experience at a globally leading companyProfessional support throughout the application process: We provide valuable tips for your documents and prepare you specifically for interviewsBenefit 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
Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systems Support model development by assisting with training, validation, and optimization of machine learning workflows Conduct data analysis to extract insights and provide clear reports supporting R&D research questions Solve technical challenges related to data access, pipeline performance, and software limitations Ensure continuity of ongoing projects by aligning closely with the core team and delivering on timelines Perform image analysis and prepare datasets required for scientific and ML use cases Manage and improve ETL processes to ensure data quality, structure, and availability Document workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative field Strong proficiency in Python with expertise in scientific and analytical libraries Skilled in SQL and working with relational databases Understanding of ETL concepts and practical experience working with data pipelines Solid foundation in machine learning principles and model lifecycle Ability to perform image analysis for scientific or research applications Strong communication and interpersonal skills with the ability to collaborate in a technical team Independent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impact Hands-on involvement in AI, machine learning, and data integration challenges in a scientific environment Close collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Development and implementation of integration and verification strategies in line with project planning, with the aim of successfully advancing innovative and intelligent productsDefinition, further development and continuous optimisation of overarching verification methods based on system requirements and use casesPlanning and ensuring all verification activities in terms of schedule, infrastructure, budget and quality standardsCoordination, implementation and monitoring of test processes in close cooperation with development departments and verification teamsAnalysis of test results, risk assessment and derivation of appropriate measures to improve qualityDefinition of series tests taking into account risk analyses and statistical methodsClose cooperation with project managers, development and verification engineers, validation managers and external partners. Completed degree (ETH/university/technical college) in computer scienceExtensive experience as a test manager and in testing complex, interdisciplinary systemsExtensive professional experience in E2E IoT system testing and UI profile testingIn-depth knowledge of cloud platforms, device cloud communication, IoT architecture and mobile & appsIn-depth knowledge of build, release and DevOps environments as well as test automation.Practical experience in the use of common test management tools and agile development methodsKnowledge of JIRA, Confluence and Codebeamer is an advantageExperience with the Linux operating systemAn advantage: ISTQB certification as a test managerStructured, independent and decisive way of working with a strong awareness of qualityVery good communication, presentation and mediation skills as well as high social and intercultural competenceFluent English skills, German skills are a big advantage Option for a long-term project with the possibility of extensionBy applying through Hays, you will be part of a small, carefully selected group of candidates presented to the client for this positionChallenging and varied tasks in a promising and innovative industry Ihr Kontakt Ansprechpartner Jil Zoltai Referenznummer 865070/1 Kontakt aufnehmen E-Mail: jil.zoltai@hays.ch Anstellungsart Freiberuflich für ein Projekt
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
Mein Arbeitgeber Language: English Administer and maintain Azure AI Foundry workspaces, environments, model catalogs, compute and configurations Manage lifecycle operations for LLMs, embeddings models and model deployments within the platform (excluding agent deployment) Ensure reliability, scalability, and performance of AI Foundry environments across all stages (dev/test/prod) Configure and maintain logging, tracing, telemetry and usage dashboards Monitor performance, cost, quota consumption and operational health of AI Foundry components Implement alerting and diagnostics to ensure platform stability Apply and maintain Azure RBAC, workspace governance and access policies inside the platform Ensure consistency in workspace structure, permissions and operational standards across teams Support internal teams in onboarding and safe platform usage Produce high quality documentation, runbooks, platform guides and onboarding materials Assist internal teams in using AI Foundry capabilities effectively / Provide hands-on troubleshooting and support for platform adoption Practical, hands-on experience managing Azure platforms in production environments Strong knowledge of Azure AI Foundry, Azure OpenAI, and related Azure AI/ML components Familiarity with LLM lifecycle management, platform operations, and governance Experience working autonomously within engineering or platform teams Strong communication skills and ability to assist internal teams Proven ability to produce clear and structured documentation Experience with Portkey for model routing, observability, caching, or guardrails Knowledge of Azure API Management (APIM) Understanding of other AI ecosystem tools such as Promptflow, MLflow, LangChain, or Semantic Kernel Exposure to cloud security best practices Start: April 2026 Remote work possible Ihr Kontakt Referenznummer 863216/1 Kontakt aufnehmen Telefon:+ 49 621 1788-4297 E-Mail: positionen@hays.de Anstellungsart Freiberuflich für ein Projekt
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.