Main Tasks and Key Responsibilities Overall goals / Typical measures Seeks and prospects for BC targets to win new customers generally in the 30k-500k Euro range Net Sales per annumPlans and manages medium to large - sized Business CustomersBuilds rapport and trust with customers by being informed about customer’s business and the marketAssesses the type and size of customer needsRecommends solutions based on customer needs by using industry knowledgeIs responsible for closing business by connecting a customer’s needs to a DHL solution by offering value to the clients supply chainSupports customer growth by conducting joint visits with Product, TL and organizing workshops inviting customers to share information on updated regulations, products, etcUses networks within the various Sales channels within DP DHL to collaborate on customers, marketing strategies and offers a full supply chain of services to service customer needsCollects relevant customer information for the RFI/RFP/RFQ and prepares documents for customer implementation in order to ensure proper operational handover and implementation to meet customer expectations (SLA’s & SOP’s)Is a master user of DGF CRMTransfers SC with high value potential to key account Sales channel Job Requirements Computer Literate – All MS Programsand willing to learn additional computer skillsAbility to work in a team environment and transfer of knowledge to team membersAbility to work within time constraints, make own decisions and advise Client of logistics solutionsPunctuality and time management skills are essential elements of this position.Ability to work under extreme pressure with minimal supervision.Ability to communicate effectively on all levelsAbility to use initiative and be a self-starterCreativity and problem-solving capabilitiesOutstanding Customer relationship skills a necessityPunctuality and time management skills are essential elements of this position.Must have previous freight experience Skills / Qualifications Key capabilities / Competencies Competence Competency segment ‘Business’ Analysis:Breaks down a problem, situation or process into its component parts, separates the main issues from side-issues, understands the nature of parts and their relationship to one another.
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.
#shapeandcreate Your Responsibilities: Act as an expert for SAP EWM and TM: provide technical advice and innovative solutions for complex challenges.Hands-on development: ABAP programming, enhancements (BADIs, User Exits), custom reports, interfaces (IDocs, RFCs, APIs), and UI technologies (Fiori, Screen Personas).Technical reviews, performance optimization, and troubleshooting of SAP SCM systems.Creation and maintenance of comprehensive technical documentation.Stay up-to-date with the latest SAP SCM innovations and industry trends.Support the integration of SAP EWM/TM with other SAP modules (e.g., PP, MM, SD) and external systems. Your Profile: Completed degree in Computer Science, Information Technology, or a comparable field..Proven track record as a Technical Architect or Developer in multiple full-lifecycle SAP EWM/TM implementations.Deep ABAP development skills (ABAP Objects, BAPIs, BADIs, User Exits) specifically in the EWM/TM context.Sound knowledge of SAP EWM and TM processes.Experience with integration technologies such as IDocs, RFCs, Web Services, and CPI.Knowledge of SAP Fiori/UI5 development is a plus.Excellent analytical, problem-solving, and conceptual thinking skills.Fluent in English (written and spoken); German language skills are a significant advantage.
STELLENDETAILS: Einsatzort: 82234 Weßling Branche: Luft-/Raumfahrttechnik Beruf: Bachelor’s degree in Computer Science, Information Systems Tätigkeitsbereich: Produktion/Produktionsplanung Art der Anstellung: Arbeitnehmerüberlassung Befristung: unbefristet
Key Responsibilities: Design, build, and operate cloud-based services using modern container technologies (e.g., Kubernetes, Docker) and Platform-as-a-Service (PaaS) solutions.Integrate new technologies and products into the existing cloud infrastructure, ensuring compatibility and long-term sustainability.Support the integration and implementation of additional software components and integration systems following agile methodologies.Contribute to the definition of functional and technical requirements in collaboration with cross-functional teams.Evaluate emerging technologies within the context of existing solutions and support software development teams through enablement and knowledge transfer.Ensure stable and secure operation of the cloud infrastructure, including scalability of services, maintainability, performance optimization, and security hardening.Monitor production systems and cloud services, proactively detect issues, and ensure fast recovery and incident resolution when required. What makes you stand out Bachelor's degree or equivalent in Computer Science3+ years' experience in cloud developmentStrong experience with cloud platforms (e.g., Azure, AWS, or GCP).Hands-on expertise in containerization and orchestration (Docker, Kubernetes).Experience with CI/CD pipelines and Infrastructure as Code (e.g., Terraform, ARM, CloudFormation).Solid understanding of system monitoring, logging, and incident management.Knowledge of cloud security best practices.