YOUR TASKS: Design, develop and deploy digital solutions ensuring the software development life cycle in an agile setup Develop solutions on a leading-edge cloud based platform for managing and analyzing large datasets Create technical documentation Analyze and decompose business requirements into technical functionalities Produce clean and efficient code based on business requirements and specifications Create Notebooks, pipelines and workflows in SCALA or Python to ingest, process and serve data in our platform Be a technical lead for junior and external developers Be a part of the continuous improvement of Nordex’ development processes by participating in retrospectives and proposing optimizations YOUR PROFILE: Technical degree in Computer Science, Software Engineering or comparable Experience or certification in Databricks Fluent English At least 3 years of proven experience Availability to travel YOUR BENEFITS: In addition to the opportunity to make our world a little more sustainable, we offer you: *Some offers may vary by location. ** Hybrid working in accordance with the company's internal policy.
YOUR TASKS: Design, develop and deploy digital solutions ensuring the software development life cycle in an agile setup Develop solutions on a leading-edge cloud based platform for managing and analyzing large datasets Create technical documentation Analyze and decompose business requirements into technical functionalities Produce clean and efficient code based on business requirements and specifications Create Notebooks, pipelines and workflows in SCALA or Python to ingest, process and serve data in our platform Be a technical lead for junior and external developers Be a part of the continuous improvement of Nordex’ development processes by participating in retrospectives and proposing optimizations YOUR PROFILE: Technical degree in Computer Science, Software Engineering or comparable Experience or certification in Databricks Fluent English At least 3 years of proven experience Availability to travel YOUR BENEFITS: In addition to the opportunity to make our world a little more sustainable, we offer you: *Some offers may vary by location. ** Hybrid working in accordance with the company's internal policy.
. • Directly communicate with internal and client statisticians and clinical team members to ensure appropriate understanding of requirements and project timelines • Estimate programming scope of work, manage resource assignments, communicate project status and negotiate/re-negotiate project timelines for deliverables • Use and promote the use of established standards, SOP and best practices • Provide training and mentoring to SP team members Requirements: • Bachelor's Degree in Maths, Computer science, Statistics, or related field • 7+ years’ Statistical Programming experience within the Life Science Industry • Strong Efficacy experience • Advanced knowledge of statistics, programming and/or clinical drug development process • Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro • Language • Advanced knowledge of relevant Data Standards (such as CDISC/ADaM/SDTM) Join IQVIA to see where your skills can take you • Global exposure • Variety of therapeutic areas • Collaborative and supportive team environment • Access to cutting-edge and innovative, in-house technology • Excellent career development and progression opportunities • Work-Life Balance, with a strong focus on a positive well-being Unleash your potential!
Ihre Aufgaben: Entwicklung und Implementierung KI-gestützter Anwendungen mit Schwerpunkt auf Front-End-Lösungen (Machine Learning, NLP, Computer Vision, Generative AI, RAG-Systeme)Design und Programmierung von Softwaremodulen unter Nutzung moderner Sprachen und Frameworks (Python, Java, .NET, TensorFlow, PyTorch)Aufbau und Integration von Datenpipelines für Training und Betrieb von KI-Modellen auf Plattformen wie der Eigenentwicklung AI.nsteinKonzeption und Entwicklung fachspezifischer KI-Agents mittels Prompt-EngineeringZusammenarbeit mit Data Scientists und KI-Architekten bei der Überführung von KI-Modellen in produktive UmgebungenSicherstellung hoher Code-Qualität durch Clean Code-Prinzipien, Unit Tests und automatisierte TestverfahrenDurchführung von Fehleranalysen sowie kontinuierliche Optimierung und Weiterentwicklung bestehender AnwendungenTechnische Dokumentation von Entwicklungen, Architekturen und ErgebnissenEvaluation und Bewertung neuer KI-Technologien, Tools und Frameworks Ihre Qualifikation: Abgeschlossenes Studium der Informatik, Wirtschaftsinformatik oder eine auf anderem Weg erworbene gleichwertige QualifikationMehrjährige Berufserfahrung in der Softwareentwicklung mit modernen Programmiersprachen (Python, Java, C#, JavaScript)Fundierte Kenntnisse im Bereich Künstliche Intelligenz (Machine Learning, NLP, Generative AI, RAG-Systeme)Ausgeprägte Erfahrung im Prompt-Engineering und in der Entwicklung von KI-AgentsPraktische Erfahrung mit KI-/Datenplattformen (z.B.
Position Summary: We are seeking a motivated and enthusiastic C++ Developer to join our dynamic team in the Berlin-Adlershof software center. This role is ideal for individuals with a solid foundation in computer science, experience with C++ using the Qt-Framework and eager to grow their skills in a cutting-edge environment. You will have the opportunity to contribute to the development of leading dental applications, making a tangible impact on the healthcare industry.
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
• Use business systems and Microsoft Office Suite software proficiently. Ability to use basic computer operations. • Apply commonsense understanding to carryout instructions furnished in written, oral, or diagram form. • Ability to use gauges to measure.
. • Quality inspection of products • Proper handling of finished pieces • Maintain necessary paperwork and recordkeeping and computer entry of work orders and/or logs • Manual finishing work using hand tools or using tools, equipment, measuring devices, etc. essential to the above tasks • Requires the simultaneous operation of one or more machines and/or performance of other work assignments • Performs preventative maintenance on machines • Performs other related duties as assigned • Maintain cleanliness and good housekeeping according to 5S plus safety principles within work areas • Transport materials through production process using lifting devices such as Forklift/Raymond Your Profile • High School Diploma or General Education Degree (GED). • Ability to read and interpret documents such as safety rules, customer drawings, operating and maintenance instructions, and procedure manuals. • 1-3 years of manufacturing experience is preferred. • Ability to work all three shifts on a rotating schedule. • Ability to manually lift and manipulate 50 pounds. • Due to the nature of work performed at this facility.
. • Quality inspection of products • Proper handling of finished pieces • Maintain necessary paperwork and recordkeeping and computer entry of work orders and/or logs • Manual finishing work using hand tools or using tools, equipment, measuring devices, etc. essential to the above tasks • Requires the simultaneous operation of one or more machines and/or performance of other work assignments • Performs preventative maintenance on machines • Performs other related duties as assigned • Maintain cleanliness and good housekeeping according to 5S plus safety principles within work areas • Transport materials through production process using lifting devices such as Forklift/Raymond Your Profile • High School Diploma or General Education Degree (GED). • Ability to read and interpret documents such as safety rules, customer drawings, operating and maintenance instructions, and procedure manuals. • 1-3 years of manufacturing experience is preferred. • Ability to work all three shifts on a rotating schedule. • Ability to manually lift and manipulate 50 pounds. • Due to the nature of work performed at this facility, US Person status may be required.
• Use business systems and Microsoft Office Suite software proficiently. Ability to use basic computer operations. • Apply commonsense understanding to carryout instructions furnished in written, oral, or diagram form. • Ability to use gauges to measure.
Your Profile - Qualifications • Bachelor’s/Master’s/PhD in Computer Science, Applied Mathematics, Engineering, or related field. • Strong background in machine learning, deep learning. • Proven experience with 3D graphics, computational geometry (meshes, point clouds, surface reconstruction) or computer vision • Proficiency in Python, C++, and ML frameworks (TensorFlow, PyTorch). • Experience with medical imaging data (CT, CBCT, intraoral scans) is a plus. • Full professional proficiency in English is required Preferred Skills • Familiarity with GANs, diffusion models, or neural rendering for material reconstruction. • Familiarity with biomedical applications. • Strong problem-solving skills and ability to work in interdisciplinary teams. • Excellent communication and documentation abilities. • Large language modules (plus) What We Offer • Opportunity to work on cutting-edge applications in digital dentistry and orthodontics. • Collaborative environment with experts in ML, graphics, and healthcare. • Competitive salary and benefits package. • Career growth in a rapidly evolving field.
Responsible for all aspects of Material Master for the global template and for MDG-M Review all Requirements for clarity and for support of harmonized approach Drive, oversee, guide and assist the technical developers Test all requirement implementations Involved in all aspects of PLM Interfaces for each of the PLM Systems With each roll out the above topics must be addressed in different ways including migration With regards to migration: manage clones, collisions, duplicates for every S4E-Unify and Agora Roll Out Provide demonstrations on MDG-M functionality, oversee the Data Quality module and its implementation relative to KPI’s and management of KPI results Bachelor’s degree in computer science, Business Management, Management Information Systems or equivalent experience Experience in business process design in material management and production planning Expert knowledge about PP, MM, MDG-M, processes and customizing in SAP S/4 HANA Experience and the ability to read ABAP code / debugging are desirable Ability to meet business requirements through the standard solution used Excellent with troubleshooting and analytical skills 10-20% business travel (international and domestic) is expected Languages: English, German (optional) Exciting Global Projects: Be part of a major international SAP S/4HANA transformation program Hybrid Work Model: Flexible working hours and remote work options depending on project needs Professional Development: Opportunity to work with cutting-edge technologies and gain experience in SAP S/4HANA, MDG-M, and PLM interfaces International Environment: Collaborate with global teams across different countries and cultures Modern Workplace: Access to Siemens Energy’s innovative and sustainable office infrastructure Networking Opportunities: Work alongside experts in energy, digitalization, and transformation Gehaltsinformationen 120000 Ihr Kontakt Ansprechpartner Julian Hientz Referenznummer 847518/1 Kontakt aufnehmen E-Mail: julian.hientz@hays.de Anstellungsart Anstellung bei der Hays Professional Solutions GmbH
Ihr Profil Erfolgreich abgeschlossenes wissenschaftliches Hochschulstudium (Master oder vergleichbar) der Fachrichtung Informatik, Computer Engineering Science (CES), Software Engineering oder einer vergleichbaren Fachrichtung • Programmiererfahrung in C++, C#, Python, JavaScript oder vergleichbar • Grundkenntnisse in den Bereichen Edge-/Cloud-Computing, Containervirtualisierung bzw.
• Use business systems and Microsoft Office Suite software proficiently. Ability to use basic computer operations. • Apply commonsense understanding to carryout instructions furnished in written, oral, or diagram form. • Ability to use gauges to measure.
• Use business systems and Microsoft Office Suite software proficiently. Ability to use basic computer operations. • Apply commonsense understanding to carryout instructions furnished in written, oral, or diagram form. • Ability to use gauges to measure.
Responsible for all aspects of Material Master for the global template and for MDG-M Review all Requirements for clarity and for support of harmonized approach Drive, oversee, guide and assist the technical developers Test all requirement implementations Involved in all aspects of PLM Interfaces for each of the PLM Systems With each roll out the above topics must be addressed in different ways including migration With regards to migration: manage clones, collisions, duplicates for every S4E-Unify and Agora Roll Out Provide demonstrations on MDG-M functionality, oversee the Data Quality module and its implementation relative to KPI’s and management of KPI results Bachelor’s degree in computer science, Business Management, Management Information Systems or equivalent experience Experience in business process design in material management and production planning Expert knowledge about PP, MM, MDG-M, processes and customizing in SAP S/4 HANA Experience and the ability to read ABAP code / debugging are desirable Ability to meet business requirements through the standard solution used Excellent with troubleshooting and analytical skills 10-20% business travel (international and domestic) is expected Languages: English, German (optional) Exciting Global Projects: Be part of a major international SAP S/4HANA transformation program Hybrid Work Model: Flexible working hours and remote work options depending on project needs Professional Development: Opportunity to work with cutting-edge technologies and gain experience in SAP S/4HANA, MDG-M, and PLM interfaces International Environment: Collaborate with global teams across different countries and cultures Modern Workplace: Access to Siemens Energy’s innovative and sustainable office infrastructure Networking Opportunities: Work alongside experts in energy, digitalization, and transformation Gehaltsinformationen 120000 Ihr Kontakt Ansprechpartner Julian Hientz Referenznummer 847518/1 Kontakt aufnehmen E-Mail: julian.hientz@hays.de Anstellungsart Anstellung bei der Hays Professional Solutions GmbH
Main Responsibilities: Work directly with Sales Engineers, Product Sales Development Managers, and Sales ManagersAnalyze sales data and pricing trends to support improvements in market‑specific pricingTrack online pricing for vacuum pump technology to assess competitive positioningDesign and generate reports, dashboards, and visualizations for the management teamAttend sales meetings, business functions, service calls, and customer visits alongside account managers and mentorsSupport development of internal data strategies to drive pricing and market‑focused sales initiativesBuild an appreciation for how data influences direct and indirect sales and marketing strategiesPerform other related duties as assignedTo succeed, you will need Skills / Knowledge / Experience: Education level: Must be a Junior or Senior majoring in: Computer ScienceManagement Information SystemsBusiness / Marketing AnalyticsIndustrial Engineering Knowledge areas/Skills: Strong analytical and creative problem‑solving skillsProficiency in Excel and/or Python; Tableau or PowerBI experience preferredSelf‑motivated, independent, flexible, organized, and methodicalResults‑driven, accountable, and ambitiousAdaptability in a dynamic, fast‑paced environmentIn return, we offer We believe there is always a better way.
Ihr Profil Erfolgreich abgeschlossenes wissenschaftliches Hochschulstudium (Master oder vergleichbar) der Fachrichtung Informatik, Computer Engineering Science (CES), Software Engineering oder einer vergleichbaren Fachrichtung • Programmiererfahrung in C++, C#, Python, JavaScript oder vergleichbar • Grundkenntnisse in den Bereichen Edge-/Cloud-Computing, Containervirtualisierung bzw.
What we offer: 3 months lasting internship opportunity based in Germany (next possible start date: May. 2026).Remote work / home office with high-class remote trainings and guidance combined with work experience - remote and on business travel.The aim is a training on the Clinical Research Associate role, there might be an option to offer a permanent employment in this field afterwards.Collecting knowledge: in basic remote and practical on-site trainings in clinical research.Gaining a brought work experience in the administration of clinical trials: supporting the Clinical Trials Assistants with documentation and filing, accompanying the Clinical Research Associates to various visit types at the research sites (onsite and remote visits, including administration), assisting the Study Start-Up Group with relevant documents for Ethical Committees and contracting purposes.Working with the latest computer systems and first-class IT equipment. You should have: University degree from life science-based subjects preferable plus an advanced theoretical trainings program in clinical research.Excellent communication skills in German language (at least C1 level) including good command of English language.Strong written and verbal communication skills.Computer skills including a high proficiency in use of Microsoft Office applications, especially Excel, internet, and communication tools.Excellent organizational and problem-solving skills.Effective time management skills and the ability to manage priorities.Ability to establish and maintain effective working relationships with coworkers, managers and clients.Flexibility to frequent business travel and driving license category B.Candidates need to be located in Germany If you want to make a difference in global healthcare, IQVIA™ is the place for you!
What we offer: 3 months lasting internship opportunity based in Germany (next possible start date: May. 2026).Remote work / home office with high-class remote trainings and guidance combined with work experience - remote and on business travel.The aim is a training on the Clinical Research Associate role, there might be an option to offer a permanent employment in this field afterwards.Collecting knowledge: in basic remote and practical on-site trainings in clinical research.Gaining a brought work experience in the administration of clinical trials: supporting the Clinical Trials Assistants with documentation and filing, accompanying the Clinical Research Associates to various visit types at the research sites (onsite and remote visits, including administration), assisting the Study Start-Up Group with relevant documents for Ethical Committees and contracting purposes.Working with the latest computer systems and first-class IT equipment. You should have: University degree from life science-based subjects preferable plus an advanced theoretical trainings program in clinical research.Excellent communication skills in German language (at least C1 level) including good command of English language.Strong written and verbal communication skills.Computer skills including a high proficiency in use of Microsoft Office applications, especially Excel, internet, and communication tools.Excellent organizational and problem-solving skills.Effective time management skills and the ability to manage priorities.Ability to establish and maintain effective working relationships with coworkers, managers and clients.Flexibility to frequent business travel and driving license category B.Candidates need to be located in the Stuttgart area If you want to make a difference in global healthcare, IQVIA™ is the place for you!
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. OpenCV, TensorFlow, PyTorch) Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g.
What You’ll Do: Partner with business teams to understand workflows, challenges, and opportunitiesIdentify and prioritize AI use cases with measurable business impactTranslate business needs into AI-driven solutionsDeliver practical AI training sessions, workshops, and demosPromote safe and responsible AI adoptionHelp teams understand AI capabilities, limitations, and best practicesDesign scalable AI solutions using Agentic AI, LLMs, and Generative AI conceptsApply prompt engineering best practicesBuild solutions using low-code/no-code platforms (e.g., Power Automate, Power Apps, Copilot Studio, Cognigy)Collaborate with AI and technical teams to bring ideas to production What makes you stand out 3+ years in business consulting, product, or similar roles guiding AI/automation initiatives3+ years delivering AI or automation projects with measurable resultsStrong understanding of: Agentic AI, LLMs & Prompt Engineering, Generative AI, Hands-on experience with tools like: Cognigy, Copilot Studio and Power Automate / Power AppsSolid understanding of data fundamentals (PII, permissions, telemetry)Experience building simple impact dashboards in Power BIExperience designing and running workshops & training sessionsDegree in Business Informatics, Computer Science, or related field What Makes You Stand Out: Collaborative, solution-oriented mindsetAbility to translate complex AI topics into business languageIndependent, proactive way of workingPassion for implementing cutting-edge AI solutions We are looking forward to your application and to applicants who enrich our diverse culture!
Delight customers by providing outstanding technical support, service, and product selection assistance. Responsible for maintaining company property (company car, computer, office equipment, customer demo/loaner products, consignment stock, etc.) that is in his/her control, and or at his/her customer site.
Review operational costs, negotiate contracts with vendors, and manage vendor relationships. Requirements: Bachelor's degree in Engineering, Computer Science, or a related field. HV Authorised Person (Experienced with HV Systems) Electrical/Mechanical Engineering HNC or HND (Successfully completed apprenticeship in either) C&G Pts. 1 & 2, equivalent or exceeds. 17th Edition IEE: Wiring and Installation (Ability to attain 18th Edition through additional training) C&G 2391 test and inspection; BS 7671:2001 for inspection, testing and certification.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed. Our Ideal Candidate Will Have: Master’s degree in Computer Science, Mathematics/Statistics, Economics/Econometrics or related field.Substantial years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience with research in machine learning algorithms.Very good knowledge and in depth understanding of Machine Learning methods, both classical and deep learning models.Relevant experience with Natural Language Processing (NLP) models for extracting structured concepts from unstructured free text, including the design, training, and evaluation of information‑extraction pipelines.Very strong technical capability in Python, SQL, Hadoop ecosystem.Experience applying AI/Machine Learning methods to business questions.Very good knowledge of the higher statistical and econometric methods in theory and practice.Experience with handling Big Data.Ability to write clean, reusable, production-level codeExcellent communication skills (written and oral) including technical aspects of a project, ability to develop usable documentation, results interpretation and business recommendations.Strong analytic mindset and logical thinking capability, strong QC mindset.Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data) would be a plus, but not a must.Self-responsible for managing projects.Fluency in German & English.