Computer Futures sucht in Hamburg, München, Frankfurt, Düsseldorf, Köln, Stuttgart, Oldenburg, Bremen, Dresden, Berlin eine/n Manager / Senior Consultant SAP EWM / WM (m/w/d) (ID-Nummer: 13764700)
COMLINE Computer + Softwarelösungen SE sucht in eine/n Sales Mitarbeiter (m/w/d) - Telefonakquise Neukunden IT/SAP (ID-Nummer: 13724983)
Starte am 01.08.2026 bei uns eine Ausbildung zum Verfahrenstechnologen (m/w/d) Mühlen- und Getreidewirtschaft 🌾 Der Beruf des Verfahrenstechnologen (m/w/d) beinhaltet körperliche Arbeit, Computer, Technik, Innovationen und viel Abwechslung! 🔍 Deine Aufgaben: Bestimmung und Kontrolle der Qualität des Mahlgutes anhand von Laborwerten sowie durch Sicht-, Geruchs und Tastkontrolle Rechtzeitiges Erkennen von Schädlingen und deren Bekämpfung Probenentnahme Kennwerte von Rohstoffen feststellen (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.