endori food GmbH & Co.KG sucht in Stegaurach bei Bamberg eine/n Technical & Production Assistant (m/w/d) (ID-Nummer: 13689032)
Zur Verstärkung unseres Teams suchen wir eine engagierte Persönlichkeit als Technical & Production Assistant (m/w/d). In dieser vielseitigen Position unterstützt du nicht nur den technischen Bereich, sondern wirkst aktiv an der Organisation und Optimierung unserer Produktionsprozesse mit.
Deliver backend development for a multi-agent evaluation platform within an agile setup Provide technical consulting to the project team and contribute to solution design Build and maintain backend services aligned with defined functional requirements Design and implement APIs for seamless integration across internal applications Collaborate with cross-functional teams to clarify and solve technical integration needs Apply modern data processing and analysis techniques to support platform evolution Improve system performance through testing strategies, code reviews, and tooling enhancements Support UI implementation and ensure smooth deployment in cloud and HPC environments Academic background or equivalent experience in a computing, engineering, or data-related field Strong expertise in Python programming Solid understanding of REST API design and implementation Hands-on experience with machine-learning engineering, ideally in scientific or technical domains Proficiency with CI/CD pipelines using GitLab Experience with GitOps workflows and Kubernetes-based service hosting Ability to implement or contribute to user interface components Knowledge of LLMs, multi-agent frameworks, and working in high-performance computing environments Opportunity to work on an award-winning, innovative scientific-technology project Highly collaborative, cross-functional environment with modern engineering practices Exposure to advanced ML, multi-agent systems, and cutting-edge data technologies Flexible hybrid working model with a dynamic team culture Ihr Kontakt Referenznummer 863129/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Lead the end-to-end execution of the deployment plan for the assigned market from preparation to hypercare completion Build a strong partnership with local leadership, acting as the single point of contact for all implementation topics Guide and coordinate the local implementation squad to ensure alignment, motivation, and effective issue resolution Track and report business and technical readiness, proactively managing risks and resolving blockers Safeguard business continuity by planning and overseeing a smooth cutover and go-live Coordinate delivery of local training and change activities, ensuring strong user adoption Represent local needs, challenges, and priorities to the central program to support aligned decision-making Ensure consistent communication, expectation management, and stakeholder alignment across all involved teams Academic background in business, IT, or a related field, or equivalent practical experience Experience delivering large-scale implementations or complex transformation programs Strong understanding of market-level operations, business processes, and cross-functional ways of working Ability to lead and motivate distributed teams without direct hierarchical authority Hands-on problem-solving mindset with the ability to manage on-the-ground challenges Exceptional communication and stakeholder-management skills with the ability to build trust quickly Experience supporting training, change initiatives, and user-adoption activities Ability to travel internationally to support key deployment milestones Opportunity to drive a high-visibility, global transformation with strategic business impact Close collaboration with senior stakeholders and international cross-functional teams A role combining leadership, strategy, and hands-on execution in a dynamic environment Ihr Kontakt Referenznummer 863248/1 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
Deliver backend development for a multi-agent evaluation platform within an agile setupProvide technical consulting to the project team and contribute to solution designBuild and maintain backend services aligned with defined functional requirementsDesign and implement APIs for seamless integration across internal applicationsCollaborate with cross-functional teams to clarify and solve technical integration needsApply modern data processing and analysis techniques to support platform evolutionImprove system performance through testing strategies, code reviews, and tooling enhancementsSupport UI implementation and ensure smooth deployment in cloud and HPC environments Academic background or equivalent experience in a computing, engineering, or data-related fieldStrong expertise in Python programmingSolid understanding of REST API design and implementation Hands-on experience with machine-learning engineering, ideally in scientific or technical domainsProficiency with CI/CD pipelines using GitLabExperience with GitOps workflows and Kubernetes-based service hostingAbility to implement or contribute to user interface componentsKnowledge of LLMs, multi-agent frameworks, and working in high-performance computing environments Opportunity to work on an award-winning, innovative scientific-technology projectHighly collaborative, cross-functional environment with modern engineering practicesExposure to advanced ML, multi-agent systems, and cutting-edge data technologiesFlexible hybrid working model with a dynamic team culture Ihr Kontakt Referenznummer 863129/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Lead the end-to-end execution of the deployment plan for the assigned market from preparation to hypercare completionBuild a strong partnership with local leadership, acting as the single point of contact for all implementation topicsGuide and coordinate the local implementation squad to ensure alignment, motivation, and effective issue resolutionTrack and report business and technical readiness, proactively managing risks and resolving blockersSafeguard business continuity by planning and overseeing a smooth cutover and go-liveCoordinate delivery of local training and change activities, ensuring strong user adoptionRepresent local needs, challenges, and priorities to the central program to support aligned decision-makingEnsure consistent communication, expectation management, and stakeholder alignment across all involved teams Academic background in business, IT, or a related field, or equivalent practical experienceExperience delivering large-scale implementations or complex transformation programsStrong understanding of market-level operations, business processes, and cross-functional ways of workingAbility to lead and motivate distributed teams without direct hierarchical authorityHands-on problem-solving mindset with the ability to manage on-the-ground challengesExceptional communication and stakeholder-management skills with the ability to build trust quicklyExperience supporting training, change initiatives, and user-adoption activitiesAbility to travel internationally to support key deployment milestones Opportunity to drive a high-visibility, global transformation with strategic business impactClose collaboration with senior stakeholders and international cross-functional teamsA role combining leadership, strategy, and hands-on execution in a dynamic environment Ihr Kontakt Referenznummer 863248/1 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 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