Dein tägliches Business Übernahme sämtlicher EDV-TätigkeitenPflege und Aktualisierung des B to B Online ShopsHardware und Software Optimierung sämtlicher Computer des UnternehmensOptimierung der Online Verkäufe und des WarenwirtschaftsystemsUnterstützung der Kaufmännischen Mitarbeiter in EDV BelangenReibungslose, effiziente und termingerechte Durchführung der definierten AufgabenIntensive Kommuniktation sowie Abstimmung mit internen und externen Stellen Das bringst du mit Kaufmännische Berufsausbildung und ausgeprägte EDV-AffinitätOptimalerweise bereits AMAZON - Shop Erfahrungen Kommunikationsfreudigkeit und Eigeninitiative Teamfähigkeit Deine Benefits Dein Bruttomonatsgehalt liegt bei 3.300 € 30 Tage Jahresurlaub Urlaubs- und Weihnachtsgeld on top Einen einfachen, digitalen und trotzdem persönlichen Bewerbungsprozess Tarifvertragliche Absicherung 100% der Jobs in der Region - bei Top Arbeitgebern Kurze Arbeitswege - mehr Freizeit für dich!
Dein tägliches Business Übernahme sämtlicher EDV-TätigkeitenPflege und Aktualisierung des B to B Online ShopsHardware und Software Optimierung sämtlicher Computer des UnternehmensOptimierung der Online Verkäufe und des WarenwirtschaftsystemsUnterstützung der Kaufmännischen Mitarbeiter in EDV BelangenReibungslose, effiziente und termingerechte Durchführung der definierten AufgabenIntensive Kommuniktation sowie Abstimmung mit internen und externen Stellen Das bringst du mit Kaufmännische Berufsausbildung und ausgeprägte EDV-AffinitätOptimalerweise bereits AMAZON - Shop Erfahrungen Kommunikationsfreudigkeit und Eigeninitiative Teamfähigkeit Deine Benefits Dein Bruttomonatsgehalt liegt bei 3.300 € 30 Tage Jahresurlaub Urlaubs- und Weihnachtsgeld on top Einen einfachen, digitalen und trotzdem persönlichen Bewerbungsprozess Tarifvertragliche Absicherung 100% der Jobs in der Region - bei Top Arbeitgebern Kurze Arbeitswege - mehr Freizeit für dich!
This includes the ability to work unsupervised, under pressure and meet deadlines • Creative with strong commitment to quality and excellence, and a continuous improvement mindset • Communication and time-management skills • Strong analytical skills and efficient problem solving • You are educated on master degree level in IT Security, Computer Science or equivalent, fluent in English WHAT IS THE PLUS POINT (S): • Certifications such as SEC545 (SANS), CCSP(ISC2), CISSP, CCSK(CSA), Microsoft Certified Azure Security or similar • DevSecOps experience related to application deployments on multi cloud • Strong experience on cloud platforms such as Google, Amazon and Azure WHAT YOU WILL GET FROM US: • Great team of IT professionals with global working exposure • On-going professional and technical training and certifications • Global internal job opportunities available within DPDHL • A multicultural environment • Meal Card and Flexible Benefits – customized according to individual needs • Choose any day for your vacation from earned public holiday (Saturday and ad hoc) • Smart casual dress code • Company Outpatient Medical • Home office possibilities Sounds good?
You will also undertake proactive maintenance and administration of computer hardware and software, and operations tools in support of the delivery of the IT service. You will develop new tools and procedures for further customization and automatization of existing products and processes and improve system availability with proactive work to avoid outages and performance issues with particular focus on maintenance services for all infrastructure used by the Operations Centre.
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.