We’re designing, prototyping and running cutting-edge solutions in the areas of Artificial Intelligence, Machine Learning, Robotic Process Automation, Blockchain, IoT and more. Currently, we’re looking for Machine Learning Technical Expert. In this role, you’ll have an opportunity to directly impact digitalization in DPDHL and really, really scale up (we’re in all the countries in the world!).
. --------------------------------------------- Senior Data Scientist Data Science & Advanced Analytics Frankfurt, Germany The Senior Data Scientist is responsible for designing, deploying and continuously optimizing scalable ML solutions that translate business requirements into measurable impact across EMEA markets. The position combines technical execution with business alignment, ensuring solutions remain adaptable to evolving commercial needs while maintaining architecture consistency and standardization.
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.
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
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
Profile: Professional Mechanic / Technician / Operator / Tooling Developer Preferably previous technical experience in the metal sector Dutch and/or French language, English would definitely be a benefit Forklift / Car driving licence Offer: We offer you a challenging position with the opportunity to develop yourself with a high degree of independence and freedom in a dynamically growing, economically healthy company group with short decision-making paths and an attractive salary package.
Mein Arbeitgeber Als erfolgreicher, wachsender mittelständischer Anbieter relevanter und innovativer daten- und KI-getriebener Lösungen zur Optimierung der Entscheidungsfindung für namhafte Unternehmen bietet dieser Arbeitgeber eine aufgeschlossene, agile und von Fortschritt geprägte Kultur, in der Teamwork, Eigenverantwortung und kontinuierliches Lernen von hoher Bedeutung sind Gestaltungsspielraum in anspruchsvollen Projekten, langfristige Perspektiven und Flexibilität sind inklusive Konzeption, Umsetzung und Weiterentwicklung von Generative-AI- und NLP-Systemen, die Kundenanforderungen in Bezug auf Performance, Latenz, Kosten und Erweiterbarkeit optimal erfüllenRegelmäßige Abstimmung mit Stakeholdern bzgl. der Anforderungen Enge Zusammenarbeit mit EntwicklerInnen und Technical Leads für die Umsetzung und Use Cases wie Retrieval-basierten Chatbots, Agentensystemen oder Fine-Tuning von SprachmodellenPlanung und Implementierung robuster Machine Learning-Pipelines nach Best Practices - auf Azure, AWS oder GCP Input bei komplexen technischen Herausforderungen sowie Präsentation von LösungsansätzenAktive Verfolgung neuer Entwicklungen in NLP und KI, um KundInnen stets moderne, hochwertige Lösungen anzubieten Erfolgreich abgeschlossenes Studium der (Wirtschafts-)Informatik oder eine vergleichbare AusbildungEinschlägige Berufserfahrung in Data Science und idealerweise im Umgang mit mehreren der typischen NLP-/LLM-Tools wie OpenAI APIs, Bedrock, Azure AI Foundry, LangChain, LangGraph, Instructor, Hugging Face, Tokenizers, Vektordatenbanken, performanter Inferenz, Model Deployment, MCP/A2A und Datensatz-ErstellungSehr gute Kenntnisse in Machine Learning und Deep Learning, insbesondere im Bezug auf Transformer-Modelle, LLMs und Generative KISicherer Umgang mit produktionsreifen Frameworks wie PyTorch sowie mit Agent-Frameworks wie LangGraph, SmolAgents, OpenAI Agent SDK, CrewAI oder PydanticAITiefes Verständnis der Model-Optimierung mit PEFT wie QLoRA, Instruction Fine-Tuning, Post-Training, Inference-Optimierung und Embeddings Sicher in Workflows wie Conversational AI, RAG, Info Extraction, Tool Calling, LLM-EvaluationKenntnisse in Agentic RAG, GraphRAG, Multi-Agent-Systemen, Text-to-SQL und Code RetrievalSehr gutes Verständnis für Deployments und MLOps auf Azure, GCP oder AWSHoher Anspruch an Softwarequalität und die Fähigkeit, sauberen, performanten, skalierbaren Code zu schreiben und KI-Systeme produktiv einzusetzenDie Fähigkeit, komplexe Anforderungen in technische Lösungen zu übersetzen und auch Fachfremden sicher zu vermitteln sowie gute Deutsch- und Englischkenntnisse Eigenverantwortliches Arbeiten und Mitgestaltungsmöglichkeiten durch kurze EntscheidungswegeWeiterentwicklung durch Fokus auf Innovation: Die vielfältigen und abwechslungsreichen Projekte drehen sich um die Entwicklung intelligenter Algorithmen, datenbasierter Strategien und maßgeschneiderter KI-LösungenEngagiertes, dynamisches, konstruktives Team mit starkem Zusammenhalt und einer offenen Feedback-KulturSehr gut angebundene, moderne Räumlichkeiten und hochwertiges technisches EquipmentFlexibel planbarer remote-Anteil von bis zu 40%, sogar zweitweise aus dem EU-AuslandZuschuss zum Deutschland-Ticket, zu Sport- und Wellnessangeboten sowie zur Kinderbetreuung Gehaltsinformationen Erfahrungsabhängig bis zu 100.000 € p.a.
Mein Arbeitgeber Als erfolgreicher, wachsender mittelständischer Anbieter relevanter und innovativer daten- und KI-getriebener Lösungen zur Optimierung der Entscheidungsfindung für namhafte Unternehmen bietet dieser Arbeitgeber eine aufgeschlossene, agile und von Fortschritt geprägte Kultur, in der Teamwork, Eigenverantwortung und kontinuierliches Lernen von hoher Bedeutung sind Gestaltungsspielraum in anspruchsvollen Projekten, langfristige Perspektiven und Flexibilität sind inklusive Konzeption, Umsetzung und Weiterentwicklung von Generative-AI- und NLP-Systemen, die Kundenanforderungen in Bezug auf Performance, Latenz, Kosten und Erweiterbarkeit optimal erfüllen Regelmäßige Abstimmung mit Stakeholdern bzgl. der Anforderungen Enge Zusammenarbeit mit EntwicklerInnen und Technical Leads für die Umsetzung und Use Cases wie Retrieval-basierten Chatbots, Agentensystemen oder Fine-Tuning von Sprachmodellen Planung und Implementierung robuster Machine Learning-Pipelines nach Best Practices - auf Azure, AWS oder GCP Input bei komplexen technischen Herausforderungen sowie Präsentation von Lösungsansätzen Aktive Verfolgung neuer Entwicklungen in NLP und KI, um KundInnen stets moderne, hochwertige Lösungen anzubieten Erfolgreich abgeschlossenes Studium der (Wirtschafts-)Informatik oder eine vergleichbare Ausbildung Einschlägige Berufserfahrung in Data Science und idealerweise im Umgang mit mehreren der typischen NLP-/LLM-Tools wie OpenAI APIs, Bedrock, Azure AI Foundry, LangChain, LangGraph, Instructor, Hugging Face, Tokenizers, Vektordatenbanken, performanter Inferenz, Model Deployment, MCP/A2A und Datensatz-Erstellung Sehr gute Kenntnisse in Machine Learning und Deep Learning, insbesondere im Bezug auf Transformer-Modelle, LLMs und Generative KI Sicherer Umgang mit produktionsreifen Frameworks wie PyTorch sowie mit Agent-Frameworks wie LangGraph, SmolAgents, OpenAI Agent SDK, CrewAI oder PydanticAI Tiefes Verständnis der Model-Optimierung mit PEFT wie QLoRA, Instruction Fine-Tuning, Post-Training, Inference-Optimierung und Embeddings Sicher in Workflows wie Conversational AI, RAG, Info Extraction, Tool Calling, LLM-Evaluation Kenntnisse in Agentic RAG, GraphRAG, Multi-Agent-Systemen, Text-to-SQL und Code Retrieval Sehr gutes Verständnis für Deployments und MLOps auf Azure, GCP oder AWS Hoher Anspruch an Softwarequalität und die Fähigkeit, sauberen, performanten, skalierbaren Code zu schreiben und KI-Systeme produktiv einzusetzen Die Fähigkeit, komplexe Anforderungen in technische Lösungen zu übersetzen und auch Fachfremden sicher zu vermitteln sowie gute Deutsch- und Englischkenntnisse Eigenverantwortliches Arbeiten und Mitgestaltungsmöglichkeiten durch kurze Entscheidungswege Weiterentwicklung durch Fokus auf Innovation: Die vielfältigen und abwechslungsreichen Projekte drehen sich um die Entwicklung intelligenter Algorithmen, datenbasierter Strategien und maßgeschneiderter KI-Lösungen Engagiertes, dynamisches, konstruktives Team mit starkem Zusammenhalt und einer offenen Feedback-Kultur Sehr gut angebundene, moderne Räumlichkeiten und hochwertiges technisches Equipment Flexibel planbarer remote-Anteil von bis zu 40%, sogar zweitweise aus dem EU-Ausland Zuschuss zum Deutschland-Ticket, zu Sport- und Wellnessangeboten sowie zur Kinderbetreuung Gehaltsinformationen Erfahrungsabhängig bis zu 100.000 € p.a.
OpenAPI) ·5+ years of experience in overall software development lifecycle ·Familiarity with using CD/CI tooling such as Git, Jenkins and Maven Passion about great customer experienceGood communication skills to sometimes explain your work to a non-technical audienceExcellent written and spoken English; we’re an international team An ideal candidate would also have: ·Basic knowledge of Virtual Assistant technologies (e.g.
OpenAPI) • 5+ years of experience in overall software development lifecycle • Familiarity with using CD/CI tooling such as Git, Jenkins and Maven • Passion about great customer experience • Good communication skills to sometimes explain your work to a non-technical audience • Excellent written and spoken English; we’re an international team An ideal candidate would also have: • Basic knowledge of Virtual Assistant technologies (e.g.
What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least seven years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Benefits Hybrid working Täglich frisches Obst Sportkurse Freier Zutritt zur code.talks Exklusive Mitarbeiter Rabatte Kostenlose Getränke Sprachkurse Kostenloser Laracasts Account Company Events Relocation Unterstützung Mobilitätszuschlag State-of-the-art Technologien Zentrale Lage Flexible Arbeitszeiten Betriebliche Altersvorsorge Weiterbildungs- angebote Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad YOU ARE THE CORE OF ABOUT YOU.
Confers with engineers, production personnel, programmers, or others to resolve machining or assembly problems. Your Qualifications High school diploma or GED. Technical certificate from a trade school, At least 3 years of experience with press brakes At least 3 years of experience with lasers, preferably Bystronic Knowledgeable about most aspects of precision CNC machining.
Confers with engineers, production personnel, programmers, or others to resolve machining or assembly problems. Your Qualifications High school diploma or GED. Technical certificate from a trade school, At least 3 years of experience with press brakes At least 3 years of experience with lasers, preferably Bystronic Knowledgeable about most aspects of precision CNC machining.
Do you have technical expertise, precision and a passion for innovation? Then join us in shaping the next technology hub in the Semiconductor Industry!
What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least two years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis.
What You’ll Do Drive Measurable Business ImpactIndependently lead AI and analytics initiatives that generate tangible business valueActively contribute to and influence the company’s strategic directionApply Advanced Analytics & AIDevelop and apply advanced statistical methods in an agile environmentWork on business-critical questions using: Regression models, Time series analysis and Machine learning & AI algorithmsCollaborate cross-functionally or drive initiatives independentlyTurn Data into ActionDesign and execute analyses on large datasetsTranslate findings into clear, actionable recommendationsWork across the full spectrum — from Excel-based analysis to deep learning models Build Scalable AI SolutionsDevelop and own customized Data Science and AI solutionsWork with SQL on Azure and Snowflake platforms, Python is nice to haveLead projects end-to-end: from Proof of Concept (PoC) to fully operational production modelsCreate audience-tailored presentationsTranslate complex analytical insights into clear business languageDeliver compelling data storytelling to support decision-making at all levels What makes you stand out Minimum 3 years of experience in Data Science, AI, Advanced Analytics, or similar rolesProven ability to generate measurable business value through data-driven solutionsStrong expertise in statistical modeling and machine learning techniquesHands-on experience with: Python, SQL, Azure and SnowflakeExperience building scalable models from PoC to productionStrong communication and stakeholder management skillsAbility to explain complex topics to both technical and non-technical audiencesBachelor’s or Master’s degree in Finance, Statistics, Computer Science, Mathematics, or a related quantitative field We are looking forward to your application and to applicants who enrich our diverse culture!
Participates in quality efforts by inspecting components and functional items on checklist and signs off on machine Provide technical support for field service technicians during installation of the machine Your Qualifications Associate's degree (A. A.) or equivalent from two-year college or technical school 3 to five years complex electro mechanical equipment assembly experience.
Participates in quality efforts by inspecting components and functional items on checklist and signs off on machine Provide technical support for field service technicians during installation of the machine Your Qualifications Associate's degree (A. A.) or equivalent from two-year college or technical school 3 to five years complex electro mechanical equipment assembly experience.
Works under the direction of senior technicians to start-up new machines, checks power system and wiring; observes lockout tag out process to check machine components functionality; establishes that product is moving through properly; communicates with internal staff to solve technical problems or project issues. Prepares concise, accurate, professional and timely Equipment Acceptance Reports, Service Work Reports, Expense Reports and other support documentation for customer visits; communicates with KHS internal staff to report on service activities; completes and submits reports within 3 weeks after the end of a job.
Works under the direction of senior technicians to start-up new machines, checks power system and wiring; observes lockout tag out process to check machine components functionality; establishes that product is moving through properly; communicates with internal staff to solve technical problems or project issues. Prepares concise, accurate, professional and timely Equipment Acceptance Reports, Service Work Reports, Expense Reports and other support documentation for customer visits; communicates with KHS internal staff to report on service activities; completes and submits reports within 3 weeks after the end of a job.
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
The Oberalp Group is a management driven family business - a house of brands that creates high quality technical mountaineering products. We have 6 own brands Salewa, Dynafit, Pomoca, Wild Country, Evolv and LaMunt. As an exclusive partner of other brands in the sports sector we offer our entire know how in communication, sales and image building.
The Oberalp Group is a management driven family business - a house of brands that creates high quality technical mountaineering products. We have 6 own brands Salewa, Dynafit, Pomoca, Wild Country, Evolv and LaMunt. As an exclusive partner of other brands in the sports sector we offer our entire know how in communication, sales and image building.
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
Ability to read blueprints and understand technical specifications of parts and sub-assemblies Proficiency in application of manufacturing processes including welding, plating, grinding, electro polishing, CNC machining and fabricating.
Ability to read blueprints and understand technical specifications of parts and sub-assemblies Proficiency in application of manufacturing processes including welding, plating, grinding, electro polishing, CNC machining and fabricating.
People management Manage a team of 6-7 employees (including field service engineers, in-house mechanics) to meet service plan and maintenance goals.Make consistent decisions aligned with leadership, integrity, quality, urgency, and teamwork.Develop and manage the team’s technical and interpersonal skills for future growth.Ensure team members engage in learning through the Learning Link platform.Recruit and train new staff as needed.Arrange practical equipment and service training.Hold continuous 1-1 dialogues with the team to maximize their potential.
Your Tasks Layout planning for individual machines, plant sections, complete systems, and turnkey plants in the beverage industry, considering: occupational safety aspects (noise, safety), ergonomic aspects (operability, accessibility), economic aspects (number of machine operators) and intralogistics aspects (supply and disposal of machines) Project presentations and customer consulting region of south Europe Assessment of current situations and building conditions in Germany and abroad Design of complex returnable glass bottle sorting systems Your Qualifications Preferably a combined technical and commercial university degree in the field of beverage technology, mechanical engineering, or a comparable qualification Professional experience in layout planning for machinery and plant engineering; ideally in the beverage industry Excellent technical understanding Resilient, reliable, and flexible working style characterized by strong creativity and results orientation Very good product and process knowledge Good MS Office and CAD skills Excellent English skills, both written and spoken Willingness to travel internationally Benefits Innovative and international working environment Challenging and diversified job Working in a highly motivated team Strong company group Attractive remuneration Social benefits Location: Wiener Neudorf ǀ Niederösterreich ǀ Österreich
Your Tasks Layout planning for individual machines, plant sections, complete systems, and turnkey plants in the beverage industry, considering: occupational safety aspects (noise, safety), ergonomic aspects (operability, accessibility), economic aspects (number of machine operators) and intralogistics aspects (supply and disposal of machines) Project presentations and customer consulting region of south Europe Assessment of current situations and building conditions in Germany and abroad Design of complex returnable glass bottle sorting systems Your Qualifications Preferably a combined technical and commercial university degree in the field of beverage technology, mechanical engineering, or a comparable qualification Professional experience in layout planning for machinery and plant engineering; ideally in the beverage industry Excellent technical understanding Resilient, reliable, and flexible working style characterized by strong creativity and results orientation Very good product and process knowledge Good MS Office and CAD skills Excellent English skills, both written and spoken Willingness to travel internationally Benefits Innovative and international working environment Challenging and diversified job Working in a highly motivated team Strong company group Attractive remuneration Social benefits Location: Wiener Neudorf ǀ Niederösterreich ǀ Österreich
Take the responsibility of Key account's sales data analysis, including market share, loss rate, annual SWOT report and quarterly report.Take the ownership of the customer experience and improve the Service/Technical /Application support quality. In charge of the profit level/AR of the key accounts and make a high-level balance.Take care the whole life time of product and demonstrates the ability to engage and communicate effectively with senior-level client executives.Cooperate and share the market & technical information with the Leybold sales in other area, in order to help the business increasing of whole Leybold China.Other tasks assigned by manager.
Then, please send us your application:PPS ,Jagodina, Serbia, Human Resources, Vid Banjac and Aleksandar Popovic , vid.banjac@guest.schott.com, aleksandar.popovic@schott.com *At SCHOTT, it’s your personality that counts – not your gender, your identity, or origin. Your Profile General technical knowledge, knowledge of the entire production process HOT and COLD, IPC.Experience in manufacturing.Use the TWI method, following problem-solving tools: A3, Ishikawa, Pareto, 5 whys; the basics of Kaizen, application of SPC, PDCA, SMED; appication of the 5S method at a skill level.
Mulesoft Certified Developer) is a plus Strong understanding of system integration concepts, API management, and modern integration patterns Experience designing or supporting integration solutions using REST, SOAP, or event driven architectures Familiarity with API testing tools and automated testing practices (e.g., API test suites, CI/CD pipelines) Strong communication and collaboration skills, with the ability to work effectively across technical and non technical teams, managing dependencies, and ensuring transparent status reporting Languages: English (fluent), German (good knowledge) Possibilities to work in a home office A very renowned company Ihr Kontakt Ansprechpartner Olga Fester Referenznummer 864814/1 Kontakt aufnehmen E-Mail: olga.fester@hays.de Anstellungsart Freiberuflich für ein Projekt
Mulesoft Certified Developer) is a plus Strong understanding of system integration concepts, API management, and modern integration patterns Experience designing or supporting integration solutions using REST, SOAP, or event driven architectures Familiarity with API testing tools and automated testing practices (e.g., API test suites, CI/CD pipelines) Strong communication and collaboration skills, with the ability to work effectively across technical and non technical teams, managing dependencies, and ensuring transparent status reporting Languages: English (fluent), German (good knowledge) Possibilities to work in a home officeA very renowned company Ihr Kontakt Ansprechpartner Olga Fester Referenznummer 864814/1 Kontakt aufnehmen E-Mail: olga.fester@hays.de Anstellungsart Freiberuflich für ein Projekt
Als typisch mittelständisch geprägtes Unternehmen entwickeln, fertigen und vermarkten wir Spitzenprodukte, die auf der ganzen Welt unter der Marke SATA einen hervorragenden Namen haben.Sales Enthusiast: Enthusiastic salesperson with technical and/or commercial training. A qualification as a master painter, paint technician, or a similar qualification is highly desirable.Field Experience: Field service experience, ideally within the tool or paint industry, particularly in the Car Refinish Segment.Organizational Talent: Exceptional ability to coordinate tasks and schedules.Presentation Skills: Confident and articulate presenter, capable of addressing large groups and various hierarchical levels.Independence: Independent work style.Travel Flexibility: Willingness to travel frequently, including overnight stays.Language Proficiency: Proficient in English, Arabic, and/or Urdu and Hindi, with experience in delivering technical training content being advantageous.Technical Skills: Good knowledge of MS Office applications.Competitive salary and benefits package.Opportunities for professional development and career advancement.A collaborative and supportive work environment.Comprehensive training and continuous learning opportunities.Travel opportunities and exposure to global operations.
Als typisch mittelständisch geprägtes Unternehmen entwickeln, fertigen und vermarkten wir Spitzenprodukte, die auf der ganzen Welt unter der Marke SATA einen hervorragenden Namen haben.Sales Enthusiast: Enthusiastic salesperson with technical and/or commercial training. A qualification as a master painter, paint technician, or a similar qualification is highly desirable.Field Experience: Field service experience, ideally within the tool or paint industry, particularly in the Car Refinish Segment.Organizational Talent: Exceptional ability to coordinate tasks and schedules.Presentation Skills: Confident and articulate presenter, capable of addressing large groups and various hierarchical levels.Independence: Independent work style.Travel Flexibility: Willingness to travel frequently, including overnight stays.Language Proficiency: Proficient in English or German, with experience in delivering technical training content being advantageous.IT Skills: Good knowledge of MS Office applications.Competitive salary and benefits package.Opportunities for professional development and career advancement.A collaborative and supportive work environment.Comprehensive training and continuous learning opportunities.
Your Profile Degree in mechanical engineering, chemical engineering or professions related to technology and/or manufacturing. 2 years occupational experience in the fields of technical areas (quality or production or supply chain)English, EDP-knowledgeUnderstanding and capable to implement root cause analysis techniques for effective problem solvingClear understanding about the quality requirements and expectation of the customersUnderstanding the objectives and goals of the companyHave knowledge and understanding about the ISO 9001 and ISO 15378 requirementsHave knowledge and understanding about ISO 14001 & ISO 45001.Know and understand Lean Management and basic of 5S implementation.
FERCHAU – Connecting People and Technologies sucht in Friedrichshafen eine/n Technical Manager (m/w/d) Defence (ID-Nummer: 11893311)
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Do you have technical expertise, precision and a passion for innovation? Then join us in shaping the next technology hub in the Semiconductor Industry!
Do you have technical expertise, precision and a passion for innovation? Then join us in shaping the next technology hub in the Semiconductor Industry!
Skills & CompetenciesAttention to detailBasic financial information analysisOrganization and planningProficiency with digital toolsEffective communicationConfidentiality and professional ethicsContinuous learningEnglish level B1Responsibility and commitment The candidate must have the following essential skills and basic knowledge, as well as personal qualities that enable them to adapt to the functions and responsibilities of the area. Knowledge Areas / Technical SkillsAdvanced student or recent graduate in Administration, Accounting, Finance, or related fields.Basic knowledge of administrative processes, internal control, and introductory audit concepts.Proficiency with office tools (especially Excel) and management systems.Attention to detail and analytical ability to review information and identify inconsistencies.Strong organization and document‑management skills.Communication skills to interact effectively with different departments.Responsibility, confidentiality, and ability to meet deadlines.Interest in learning and developing within administrative and audit areas.
Software, cable connections and safety equipment (STEP 7, Tia Portal) Checking of electrical safety list Reprogramming & amending the machine function & mechanical setting Optimization of machine parameters and ramp-up of equipment Documentation of changes made in hardware and software (save last version in ECM) Carry out site acceptance test (SAT) Complex troubleshooting Root cause analysis Daily documentation of work carried out Hands-on training of operators and maintenance staff Your Qualifications Completed technical education Fluent English or German required; Polish is an advantage Efficient time management and flexible work scheduling depending on project requirements Willingness to travel Willingness to learn Solution-orientated thinking Work visa/permit to work in EU Benefits Innovative and international working environment Challenging and diversified job Working in a highly motivated team Strong company group Attractive remuneration Social benefits Location: Warsaw ǀ Mazovia ǀ Polen
Software, cable connections and safety equipment (STEP 7, Tia Portal) Checking of electrical safety list Reprogramming & amending the machine function & mechanical setting Optimization of machine parameters and ramp-up of equipment Documentation of changes made in hardware and software (save last version in ECM) Carry out site acceptance test (SAT) Complex troubleshooting Root cause analysis Daily documentation of work carried out Hands-on training of operators and maintenance staff Your Qualifications Completed technical education Fluent English or German required; Polish is an advantage Efficient time management and flexible work scheduling depending on project requirements Willingness to travel Willingness to learn Solution-orientated thinking Work visa/permit to work in EU Benefits Innovative and international working environment Challenging and diversified job Working in a highly motivated team Strong company group Attractive remuneration Social benefits Location: Warsaw ǀ Mazovia ǀ Polen
You support our technical training team by organizing materials, managing equipment, and helping to digitize and improve training content. In this role, you work closely with trainers, contribute to efficient workshop operations, and help develop structured and modern training documentation.
Your Profile: Educational Background: Completed studies in (Business) Informatics, Engineering, Mathematics, Physics, or Business Administration with a quantitative and technical focus.Relevant Experience: Minimum three years in data-driven process analysis and optimization/redesign with digital tools, including at least one year identifying and implementing AI automation solutions.
You support our technical training team by organizing materials, managing equipment, and helping to digitize and improve training content. In this role, you work closely with trainers, contribute to efficient workshop operations, and help develop structured and modern training documentation.
Serve as the civil/structural specialist during project execution. Guide project teams on civil-related matters to maintain technical, financial, and schedule alignment. Take ownership of civil and structural design for smaller projects. Lead and oversee external civil design companies, ensuring quality and cost-effective results.
Serve as the civil/structural specialist during project execution. Guide project teams on civil-related matters to maintain technical, financial, and schedule alignment. Take ownership of civil and structural design for smaller projects. Lead and oversee external civil design companies, ensuring quality and cost-effective results.
TypeScript) Solid know how in working with SQL or No-SQL databases You write well-structured, efficient and maintainable code and actively keep the quality of the code base in check You have excellent analytical and problem-solving skills You are used to working in an English-speaking and agile environment You raise the bar of the software you work on You enjoy investigating the ‘why’ behind specific search outcomes and translating those findings into actionable technical enhancements Nice to have Experience with Elasticsearch or OpenSearch Experience building Data Models using dbt Experience in working with a MPP data warehouse (e.g.
TypeScript) Solid know how in working with SQL or No-SQL databases You write well-structured, efficient and maintainable code and actively keep the quality of the code base in check You have excellent analytical and problem-solving skills You are used to working in an English-speaking and agile environment You raise the bar of the software you work on You enjoy investigating the ‘why’ behind specific search outcomes and translating those findings into actionable technical enhancements Nice to have Experience with Elasticsearch or OpenSearch Experience building Data Models using dbt Experience in working with a MPP data warehouse (e.g.