Machine Learning Engineer (m/w/d)

VOLKE Consulting Engineers GmbH & Co. Planungs KG; München; Hybrid; EUR 13.000 - 22.000; Teilzeit

Benefits dieser Stelle

Friendly and motivated team

Support for personal development

Flexible working hours

30 vacation days per year

Excellent compensation package

Zusammenfassung

A leading consulting engineering firm based in Munich is seeking candidates for a part-time Machine Learning position. The successful applicant will design and implement machine learning models to analyze vehicle log data, collaborate with developers, and improve ML setups. Ideal candidates should have solid experience in Python for data analysis and at least 3 years in ML projects. The role offers flexible working hours, excellent benefits, and a supportive team environment.

Qualifikationen

• 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.

Aufgaben

• Design, train, and evaluate ML models to analyze log data.
• Integrate ML components and data pipelines.
• Collaborate with developers for smooth data flow.
• 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.

Kenntnisse

Python for data analysis and machine learning

Machine Learning project experience (3+ years)

Deploying ML models to production

Data preprocessing, RAG or NLP methods

Fluent English, basic German

Tools

Quarkus

Java-based backend integration

REST APIs

AWS or similar cloud platforms

Jobbeschreibung

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 [e-mail]. We would love to welcome you soon as a valuable addition to our growing ML team!

Contact Person

[phone]

Seniority level

• Internship

Employment type

• Part-time

Job function

• Information Technology

Industries

• Motor Vehicle Manufacturing
• IT Services and IT Consulting
• IT System Custom Software Development