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Software-Entwickler (m/w/d) - Anwendungsentwicklung C#/.NET

RLE Engineering & Services GmbH

München · On-site 2w ago

About the role

About

As one of the world's leading providers of services in the fields of vehicle development, technology, and consulting, the RLE INTERNATIONAL Group offers direct entry into a varied position with interesting and impressive clients. As a family-run company, we place great importance on the appreciative support and development of our employees and offer, among other things, the following benefits:

  • Individual training opportunities and interesting and diverse tasks
  • Regular team events, flexible working time models, and sabbaticals

As one of the leading specialists for engineering, technology, and consulting services, the RLE INTERNATIONAL Group is one of the world's recognized development partners for the international automotive industry and other cross-industry technology companies. Based on our profound development and methodological expertise, we have been developing innovative and efficient solutions for our international clients for 40 years and are represented close to customers at locations in Europe, North America, and Asia.

Position

AI/ML Software Engineer (m/f/d)

Responsibilities

  • Further development and optimization of an existing C#/.NET tool regarding architecture, functionality, performance, and stability
  • Maintenance and expansion of integrations with Azure DevOps/TFS (e.g., conception, development, and deployment of Python-based machine learning models (e.g., embeddings, classification, ranking, multimodal approaches))
  • .NET–Python interoperability (API design, versioning, model deployment)
  • Setup, further development, and maintenance of CI/CD pipelines
  • Close collaboration with interdisciplinary teams to implement innovative AI/software solutions

Requirements

  • Successfully completed studies in Computer Science, Software Engineering, Data Science, Computational Engineering, Engineering, or a comparable field of study
  • Profound experience in Applied Machine Learning, Prompt Engineering, and Context Engineering
  • In-depth understanding of machine learning methods, especially neural networks, transformer models (e.g., ViT, LLMs), as well as data preprocessing and feature engineering
  • Profound knowledge in software development with C# and .NET technologies (e.g., ASP.NET, Razor, HTML)
  • Good knowledge of Python as well as performance optimization, logging, and monitoring
  • Very good German and English skills, both written and spoken

Work Details

  • 40 hours/week

Requirements

  • Erfolgreich abgeschlossenes Studium in Informatik, Software Engineering, Data Science, Computational Engineering, Ingenieurwesen oder einer vergleichbaren Fachrichtung
  • Fundierte Erfahrung in Applied Machine Learning, Prompt Engineering und Context Engineering
  • Fundiertes Verständnis von Machine-Learning-Methoden, insbesondere neuronale Netze, Transformer-Modelle (z. B. ViT, LLMs) sowie Datenvorverarbeitung und Feature Engineering
  • Fundierte Kenntnisse in der Softwareentwicklung mit C# und .NET-Technologien (z. B. ASP.NET, Razor, HTML)
  • Gute Kenntnisse in Python sowie in Performance-Optimierung, Logging und Monitoring
  • Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift

Responsibilities

  • Weiterentwicklung und Optimierung eines bestehenden C#/.NET-Tools hinsichtlich Architektur, Funktionalität, Performance und Stabilität
  • Pflege und Ausbau von Integrationen mit Azure DevOps/TFS (z. B. Konzeption, Entwicklung und Deployment von Python-basierten Machine-Learning-Modellen (z. B. Embeddings, Klassifikation, Ranking, multimodale Ansätze))
  • NET–Python-Interoperabilität (API-Design, Versionierung, Modellbereitstellung)
  • Aufbau, Weiterentwicklung und Wartung von CI/CD-Pipelines
  • Enge Zusammenarbeit mit interdisziplinären Teams zur Umsetzung innovativer KI-/Softwarelösungen

Benefits

Individuelle WeiterbildungsmöglichkeitenTeameventsflexible ArbeitszeitmodelleSabbaticals

Skills

.NET.NET CoreASP.NETAzure DevOpsC#CI/CDContext EngineeringData ScienceDeploymentDockerEmbeddingsFeature EngineeringHTMLInformatikIntegrationKIKlassifikationLLMsLoggingMachine LearningMonitoringMultimodale AnsätzeNeuronale NetzePerformance-OptimierungPythonRankingRazorSoftware EngineeringTransformer-ModelleTFSViT

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