Ensure structured, transparent, and methodical execution of complex, cross-functional development projects Enable teams and leadership to make fact-based decisions, safeguards adherence to governance and processes, drives cross-functional alignment, and continuously improves execution performance across the organization Bachelor in Computer Science, Software Engineering, Electrical Engineering, Information Technology, or a related technical field Solid understanding of business–economic correlations, cost structures, and scenario evaluation Extensive experience driving structured execution of complex, cross-functional development projects, ensuring transparency, alignment, and methodical governance Experience coordinating or leading interdisciplinary technical development projects (mechatronic, embedded, system-level or cross-functional Strong proficiency with project management tools (e.g.
Programmierung / Anwendungsentwicklung Erfahrung mit Microsoft-Betriebssystemen und -Anwendungen, idealerweise mit MS-Navision/Microsoft Dynamics 365 Business Central, Kenntnisse im Netzwerk-Troubleshooting. Gutes Verständnis von Computern (sowohl Hardware als auch Software) sowie die Bereitschaft, neue Technologien und Fähigkeiten zu erlernen und anzuwenden. Ausgeprägter Sinn für Kunden-/Mitarbeiterservice mit belegbaren Erfahrungen und konkreten Beispielen.
Ihre Aufgaben Übernahme verschiedener Entwicklungsaufgaben für Software-Komponenten für unbemannte (automatisierte und autonome) Systeme in C++ Dabei liegt zunächst ein Schwerpunkt auf der Entwicklung von Software-Architekturen und Software-Spezifikationen Unterstützung beider Entwicklung von Testprozeduren sowie von Software-Komponenten inkl. der Kommunikationsschnittstellen Als Teil eines agilen und weiterwachsenden Teams Weiterentwicklung neuer und bestehender Komponenten Aktives verfolgen von Trends im Feld Artificial Intelligence, Machine Learning, sowie der Autonomy und Einringen neuer Ideen Unterstützung bei der Bearbeitung von nationalen- und internationalen Forschungsprojekten und Arbeit an den neustens Trends im Bereich der maritimen Autonomie Ihr Profil Erfolgreich abgeschlossenes Studium vorzugsweise der Informatik, Software Engineering, Computer Science oder Mathematik oder über eine vergleichbare Qualifikation PraktischeImplementierungsfähigkeiten in C++ und mehrjährige Erfahrung in den Bereichen Architektur/Design, Tests, Build(CMake) und/oder fortlaufender Integration von Software (CI) mit bevorzugt mit GitLab Kenntnisse in der Anwendung oben genannter Tools, ggf. mit Anleitung Interesse bzw.Erfahrungen in mindestens einem der Bereiche Autonomy, Guidance, Obstacle Avoidance (2D/3D), SDF oder vergleichbare Themen im Umfeld von AUVs.
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.