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!).
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.
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.
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.
. --------------------------------------------- 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.
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.
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.
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
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.
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
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
Continues to build expertise on technical aspects of KHS product lines; shares product expertise with other departments. Maintains reference information on product line, keeps track of technical updates from Competence Center; provides support and technical information for sales personnel in the field and management; may visit customer sites to assess environment and application.
Perform cost-down and value engineering activities to establish cost-effective production processes, identifying opportunities for optimization and improvement. Perform statistical and technical analysis on production failures, identifying root causes and implementing corrective actions to improve production capability.
Continues to build expertise on technical aspects of KHS product lines; shares product expertise with other departments. Maintains reference information on product line, keeps track of technical updates from Competence Center; provides support and technical information for sales personnel in the field and management; may visit customer sites to assess environment and application.
Your Profile Technical background in Electrical, Mechanical, or Electronic systemsStrong planning, organizational, and maintenance coordination skillsProven ability to lead, coach, and develop technical teamsExtensive experience in industrial maintenance and equipment reliability improvementHands-on experience implementing TPM (Total Productive Maintenance) methodologiesProficiency in CMMS systems (SAP PM is considered an asset)Ability to manage emergency situations and conduct root cause analysisExperience in monitoring and improving maintenance KPIs (equipment availability, reliability, cost control)Ability to drive change and continuous improvement initiativesResults-oriented, autonomous, proactive, and accountableFluent in French and English (written and spoken) Your Benefits SCHOTT’s openness to promote your further development is just as great as our additional benefits.
It is necessary for the employee to have certain basic skills and knowledge, as well as personal abilities and qualities that allow them to adapt to the functions and responsibilities of the area. Technical Skills: Mechanical, Electrical, Chemical, Mechatronics, Electronics, Automation, Industrial, or related fieldsExperience with B2B sales methodology and technical salesBasic engineering concepts (physics, mathematics, machines, and tools)Cold prospecting experienceKnowledge of Vacuum and Leak Detection (Preferred)Office suite proficiencyCRM usage (Preferred) Soft Skills: Effective communicationAttention to detailAbility to learn We Offer You: A diverse and inclusive workspaceA place where your ideas are welcome
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.
At the earliest possible date we are looking forYou hold a degree or vocational qualification in industrial engineering, mechanical engineering, electrical engineering, microsystems technology, physics, chemistry, or a related technical fieldIdeally, you bring prior experience in special-purpose machinery or the semiconductor industry – whether in sales, marketing, business development, R&D, or application engineeringYour working style is independent, goal-oriented, and marked by a high level of personal responsibilityYou communicate clearly and professionally in English, making you a confident partner in internal and customer-facing interactionsYou are proficient in Windows and Microsoft Office, and have hands-on experience with SAP and CRM systemsStrong technical understanding and the ability to quickly grasp complex topics complete your profile
Your Qualifications Bachelor's degree (B. A.) from four-year college or university in a technical or engineering discipline 7 - 10 years engineering or technical experience involving packaging machinery; or equivalent combination of education and experience.
Your Qualifications Bachelor's degree (B. A.) from four-year college or university in a technical or engineering discipline 7 - 10 years engineering or technical experience involving packaging machinery; or equivalent combination of education and experience.
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.
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.
We not only offer our employees performance-based compensation, but also enable long-term career perspectives, starting from developing technical and social skills to advancing into leadership roles. This is achieved through tailored training programs and relevant projects, enabling sustainable career progression, for example, from a project team member to a project manager.
You also play a crucial role in supporting the service department in analysing and solving technical problems.o Bachelor's level of working and thinking o 5+ years of progressive experience in a development-focused, machine-building environment.
Do you have technical expertise, precision and a passion for innovation? Then join us in shaping the next technology hub in the Semiconductor Industry!
Strong mechanical and electrical aptitude with hands-on troubleshooting ability. Ability to diagnose, repair, and resolve mechanical or technical issues. Full understanding of technical drawings, layouts, and system schematics. Knowledge of on‑site safety standards and industrial equipment safety practices.
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.
Strong mechanical and electrical aptitude with hands-on troubleshooting ability. Ability to diagnose, repair, and resolve mechanical or technical issues. Full understanding of technical drawings, layouts, and system schematics. Knowledge of on‑site safety standards and industrial equipment safety practices.
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.
Technical Sales Manager - Nigeria KHS is a subsidiary of Salzgitter AG. As one of the world's leading manufacturers of filling and packaging systems for beverages and liquid food we are a world-class player.
In doing so, you will act as the central interface between product management, manufacturing, IT, and our electronics manufacturing customers.Training or studies in electronics, electrical engineering, or a comparable technical fieldExperience in electronics manufacturing (e.g., SMT, THT, testing processes, etc.) or related areas (product management, work preparation, production)Ideally, you will have knowledge in one of the following areas: software (Valor Process Preparation, Valor Bom Connector) or machines (e.g., ASM, Fuji, Juki, Panasonic, Mycronics, etc.)IT affinity and knowledge of Windows networks, TCP/IP, databases (SQL, PostgreSQL, MS SQL)Good communication skills and technical understanding in interaction with various departmentsBusiness fluent in written and spoken German and EnglishAs a service-oriented company, creativity and commitment on the part of our employees are particularly important.
Technical Sales Manager - Nigeria KHS is a subsidiary of Salzgitter AG. As one of the world's leading manufacturers of filling and packaging systems for beverages and liquid food we are a world-class player.
In-depth understanding of the EMEA corrugated market and an established network of industry contacts (preferred). Strong technical aptitude and experience in solution-based sales. Demonstrated success in matrixed organizations and cross-functional collaboration.
This is a high-impact role, ideal for a seasoned sales professional with deep knowledge of the corrugated and machine-building sectors, and a passion for delivering customer value through technical solutions. Key Responsibilities Drive Growth: Develop and implement strategic sales plans by team member. Refine and execute our go-to-market strategy and pipeline generation initiatives, supported by strong cross-functional collaboration and execution.Lead the Team: Inspire and support a regional sales team, fostering a performance-driven, customer-focused culture.
Stellenbeschreibung We are looking for the München location. Your tasks Technical responsibility for landing gearSizing, development and modification of complete system and equipmentRequirements definition and V&V i.a.w.
We not only offer our employees performance-based compensation, but also enable long-term career perspectives, starting from developing technical and social skills to advancing into leadership roles. This is achieved through tailored training programs and relevant projects, enabling sustainable career progression, for example, from a project team member to a project manager.
We not only offer our employees performance-based compensation, but also enable long-term career perspectives, starting from developing technical and social skills to advancing into leadership roles. This is achieved through tailored training programs and relevant projects, enabling sustainable career progression, for example, from a project team member to a project manager.
Your tasks Design, develop, and implement control system software for industrial automation projects Program PLCs (Programmable Logic Controllers), HMIs (Human-Machine Interfaces), SCADA (Supervisory Control and Data Acquisition) systems, and other control devicesCollaborate with engineering teams to define system requirements and specificationsPerform system integration, testing, and troubleshooting to ensure optimal performance and reliabilityProvide technical support and assistance during installation, commissioning, and maintenance phasesStay current with emerging technologies and industry trends to drive continuous improvement and innovation Your profile Bachelors degree or equivalent in Electrical Engineering, Computer Engineering, Software Engineering or related fieldProven experience in programming and configuring PLCs, preferable Siemens SIMATICProficiency in programming languages commonly used in industrial automation, such as ladder logic, structured text, and function block diagramFamiliarity with HMI or SCADA software, such as WinCC, Zenon or InTouch.Strong problem-solving skills and attention to detailExcellent communication and interpersonal abilitiesAbility to work independently and as part of a team in a fast-paced environment Additional information Competitive salary commensurate with experience Comprehensive benefits package, retirement plans, and paid time offOpportunities for professional development and advancementCollaborative and inclusive work environmentExposure to diverse projects and industries
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
We not only offer our employees performance-based compensation, but also enable long-term career perspectives, starting from developing technical and social skills to advancing into leadership roles. This is achieved through tailored training programs and relevant projects, enabling sustainable career progression, for example, from a project team member to a project manager.
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.