Machine Learning Engineer (m/w/d)

Volke Consulting Engineers GmbH & Co. Planungs KGWorkFromHome

Stellenbeschreibung:

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.

Projekt

We 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.

You

In 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 Skills

Solid experience in Python for data analysis and machine learning
At least 3 years of practical experience in ML projects
Proven success in deploying ML models or pipelines into production environments
Experience with data preprocessing, RAG, or NLP-related methods
Fluent English and at least basic German skills

Nice to have Skills

Experience with Quarkus or Java-based backend integration
Knowledge of REST APIs and microservices
Familiarity with AWS or similar cloud platforms

Our Offer

Friendly, highly qualified, and motivated team
Exciting ML project with real-world applications in the automotive domain
Support for personal development and learning new technologies
Flexible working hours and remote work options
35 working hours per week (part-time and 40h possible)
30 vacation days per year
Excellent compensation package and company benefits

Would you like to join our team?

We look forward to receiving your application. Please apply online or send your resume to We would love to welcome you soon as a valuable addition to our growing ML team!