What you will do: Welcome visitors and keep record of incoming visitors Responsibility for documents workflow (incoming/outgoing post, messengers deliveries and its evidence in the internal mailing room and delivery area) Professional communication (in person, on the telephone or email) Cooperates closely with Facility and Office Services Team You should have: Fluent knowledge of English and Czech (both written and spoken) Computer literate, good knowledge of MS Office Excellent organizational and communication skills Customer oriented, positive and professional approach Experience as receptionist is a great advantage What we offer: Great team of IT professionals and the possibility of technical development An extra week of holiday (25 days/year) 6 Self-sickness days/year Full salary compensation for up to 10 days absence due to illness per the calendar year Cafeteria employee benefit program with wide selection of benefits from Edenred On-going professional and technical training and certifications A multicultural environment in modern offices Pension plan contribution Multisport card Employee Referral Program Company sponsorship of various sports and social clubs Smart casual dress code In DHL ITS Prague, you will have the opportunity to be part of over 1650 highly skilled IT professionals of 67 nationalities.
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.
Contribute to knowledge management efforts, sharing best practices and lessons learned with the team. Dein Profil Requirements: Education: Bachelor’s degree in Computer Science, Information Technology, or related field. Experience: At least 3 years of experience with Microsoft Power Platform, including Power Apps, Power Automate, and Power BI.
All candidates will get training of ZNT products and tools in Germany, and work closely with your colleagues in Germany and Asia.Bachelor degree in computer science with at least 2 years of work experienceSelf starter to drive and rollout systems yourselfExperience with project managementSound understanding of the manufacturing industry and its automation processes, preferable in the semiconductor or medical device industryExperience with the following is a plus: Equipment interfacing, to control equipment from other systems, as well as to collect data from those systemsEquipment characterization - SECS/GEMExperience with MES systemsExperience with APC and SPCReporting systemsExcellent communication skills, commitment and flexibilityTeam builder, as well as with your colleagues as with the customer Betriebliche Altersvorsorge Aus- und Weiterbildung Flache Hierarchien und kurze Kommunikationswege Flexible Arbeitszeiten Gesundheitsmaßnahmen Mobiles Arbeiten International work environment, with high tech professionals and solutions, working with global leaders, being your customers as well as solution providers.A growing company, with great future career opportunities401K and healthcare planMarket conform salary Interessiert?
Your assignments Producing designs, both initial outlines and full plans, of sewerage, water treatment and flood defence structures such as pump systems and pipe networksPresenting project details and technical information to colleagues and clientsWriting reportsManaging project budgetsKeeping up to date with changes in regulatory legislation and guidelinesWriting and advertising tender documents and managing contractsLiaising with clients, contractors, government agencies, local authorities and suppliersSupervising local staff and site workersUsing a variety of specialist computer applications/simulation softwareMaintain effective relationships with members of all divisions and departments responsible for performing services related to the projectPrepare construction cost estimates, perform construction monitoring and coordinate field activities Your profile University degree (M.Sc.) in civil engineer, mechanical engineer, process or environmental engineer or other suitable qualification Experience in the preparation of master plans, feasibility studies, tender documents and construction planning, and/or experience with construction supervision, project management and/or commissioning of water supply and/or wastewater treatment facilities.Preferably 5 years of professional experience in international consulting/engineering in the field of urban water management, preferably in projects financed by bilateral and multilateral donor organisations and development banksStructured approach to work a high degree of flexibility, initiative, persuasiveness and negotiation skills as well as the ability to work in a team Willingness to travel extensively Good knowledge of written and spoken English and preferably an additional business language (French, Spanish, etc.)
. • Leverage knowledge of Engineer to Order (ETO) and other Product Lifecycle Management (PLM) solutions to ensure seamless E2E process integration. • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. • Long years of experience as an SAP Consultant, with a focus on S/4 HANA, SAP PP, QM, Serialization, and Batch Management. • Proven experience in SAP project roll-out implementations. • Strong analytical and problem-solving skills, with the ability to think critically and strategically. • Excellent communication and interpersonal skills, with the ability to work collaboratively across teams. • Experience with Serialization and Batch Management in an S/4 HANA environment is highly desirable. • Knowledge of Engineer to Order (ETO) processes and other PLM solutions is a significant advantage. ##5,472000004
Ihre Aufgaben Entwicklung und Implementierung von Anwendungen mit Schwerpunkt KI-gestützte Lösungen (z.B. Machine Learing, NLP, Computer Vision, Generative AI, RAG-Systeme) Design und Programmierung von Softwaremodulen unter der Nutzung moderner Programmiersprachen und Frameworks (z.B.
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.