Abgeschlossene elektronische oder technische Ausbildung zum Elektroniker, Mechatroniker, Anlagenmechaniker oder ähnliches Interesse an technischen Anlagen aus dem Bereich der Nutztierhaltung, sowie deren Überprüfung und Optimierung Idealerweise Kenntnisse von Computer-, Steuerungs- und Regelungssystemen, sowie komplexen Netzwerken Erste Berufserfahrung wünschenswert Einsatzbereitschaft, Flexibilität und Verlässlichkeit, inkl. weltweite Reisebereitschaft Gute Deutsch- und Englischkenntnisse in Wort und Schrift Viel mehr als nur ein Job!
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.
Reply sucht in MÜNCHEN eine/n (Junior) Projektmanager AI / Computer Vision (m/w/d) (ID-Nummer: 13758448)
WHAT YOU WILL DO •Role involves both Architecting, implementation planning and executing with some measure of hands-on work •Set up Enterprise monitoring framework and governance •Research on emerging related technologies in support of increased cost effectiveness and flexibility •Product selection inclusive of PoC & RFI/RFP support •Providing strategic directions for standardizing of monitoring landscape and efficient use of resources for proactive application and infrastructure monitoring •Establish and leverage key strategic vendor relationships •Develop and maintain build standards of related services •Design and implement automation initiatives to optimize the current state •Form and lead global virtual teams creating functional touch points with both architecture and operation teams enabling the on-boarding of new product/technologies to improve infrastructure supporting the global strategy •Deliver complex Infrastructure Projects Implementation •Infrastructure Problem Management - provide 3rd level problem management support for relevant Tools and Monitoring services Products you need to be familiar with •Microfocus OML •Splunk •Dynatrace •SCOM •Topaz •IQSonar •Microfocus Sitescope •TeamQuest •IBM Tivoli WHAT YOU SHOULD HAVE •Degree in Computer Science, Information Systems or equivalent experience •Minimum 10 years of experience in IT or related field with a minimum of 5 of those years focusing on enterprise Tools and Monitoring •End-to-end product lifecycle management from strategic planning to tactical activities •Good knowledge of Operating Systems, System Management, Hardware, Big Data, Automation tools and virtualization technologies, interoperation of all these technologies as applicable •Demonstrated skill in critical thinking and problem-solving methods •Demonstrable experience designing highly available, highly scalable production systems •Exposure to Multi cloud infrastructure •Vision for information delivery and management and driving execution of the roadmap, including enterprise data architecture, big data, analytics and data management.
WHAT YOU WILL DO •Role involves both Architecting, implementation planning and executing with some measure of hands-on work •Set up Enterprise monitoring framework and governance •Research on emerging related technologies in support of increased cost effectiveness and flexibility •Product selection inclusive of PoC & RFI/RFP support •Providing strategic directions for standardizing of monitoring landscape and efficient use of resources for proactive application and infrastructure monitoring •Establish and leverage key strategic vendor relationships •Develop and maintain build standards of related services •Design and implement automation initiatives to optimize the current state •Form and lead global virtual teams creating functional touch points with both architecture and operation teams enabling the on-boarding of new product/technologies to improve infrastructure supporting the global strategy •Deliver complex Infrastructure Projects Implementation •Infrastructure Problem Management - provide 3rd level problem management support for relevant Tools and Monitoring services APPLICATION YOU WILL USE •Microfocus OML •Splunk •Dynatrace •SCOM •Topaz •IQSonar •Microfocus Sitescope •TeamQuest •IBM Tivoli WHAT YOU SHOULD HAVE •Degree in Computer Science, Information Systems or equivalent experience •Minimum 10 years of experience in IT or related field with a minimum of 5 of those years focusing on enterprise Tools and Monitoring •End-to-end product lifecycle management from strategic planning to tactical activities •Good knowledge of Operating Systems, System Management, Hardware, Big Data, Automation tools and virtualization technologies, interoperation of all these technologies as applicable •Demonstrated skill in critical thinking and problem-solving methods •Demonstrable experience designing highly available, highly scalable production systems •Exposure to Multi cloud infrastructure •Vision for information delivery and management and driving execution of the roadmap, including enterprise data architecture, big data, analytics and data management.
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