Machine Learning Engineer (m/w/d)

Darum lohnt es sich

We’re excited to continue our journey as an international DevOps team, growing from our Munich roots!If you’re looking for a new challenge and want to help us shape the next stage of our evolution, we’d love to hear from you.ProjektWe develop, maintain, and operate a large application cluster that supports various processes around vehicle test and validation at a renowned car company.As part of our effort to enhance system reliability and automate data analysis, we are building up our machine learning component.Our goal is to analyze vast amounts of vehicle log data and automatically identify relevant error patterns, root causes, and relationships between components.We currently use embedding models and similarity search but are actively exploring new and better approaches — so your experience and creativity will make a direct impact.YouIn this position:You design, train, and evaluate ML models to analyze log data and extract relevant information.You work on integrating ML components and data pipelines.You collaborate closely with developers to ensure smooth data flow between systems and applications.You continuously improve the ML setup and explore new approaches to increase accuracy and reliability.You document your work and share your knowledge within the team.Required SkillsSolid experience in Python for data analysis and machine learningAt least 3 years of practical experience in ML projectsProven success in deploying ML models or pipelines into production environmentsExperience with data preprocessing, RAG, or NLP-related methodsFluent English and at least basic German skillsNice to have SkillsExperience with Quarkus or Java-based backend integrationKnowledge of REST APIs and microservicesFamiliarity with AWS or similar cloud platformsOur OfferFriendly, highly qualified, and motivated teamExciting ML project with real-world applications in the automotive domainSupport for personal development and learning new technologiesFlexible working hours and remote work options35 working hours per week (part-time and 40h possible)30 vacation days per yearExcellent compensation package and company benefitsWould you like to join our team?We look forward to receiving your application.

Please apply online or send your resume to karriere@volke-muc.de.

We would love to welcome you soon as a valuable addition to our growing ML team!Contact Person+49 89 3572770Seniority levelInternshipEmployment typePart-timeJob functionInformation TechnologyIndustriesMotor Vehicle ManufacturingIT Services and IT ConsultingIT System Custom Software Development #J-18808-Ljbffr