20 beste Stellen als machine learning engineer in münchen, by – aktuell auf Personalsuche

(Senior) AI Engineer / MLOps Engineer (m/f/d)
VESTIGAS GmbH —München
- Vollzeit
- Azure
- Informatik
- Master
Direkt bewerben
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- Teilzeit
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BridgingIT GmbH —München
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- SQL
- Machine Learning
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
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Data Scientist (m/w/d) // Remote möglich
E. Breuninger GmbH & Co. —München
- Per E-Mail
- Persönlich
- Azure
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- Englisch
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Proxima Fusion —München
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OMMAX GmbH —München
- Informatik
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C-P-S Group —München
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deeploi GmbH —München
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Praktikum als Applied AI Engineer (m/w/d)
SIXT Germany —München
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Animore —München
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Neura Robotics —München
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Avanade —München
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CHECK24 —München
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AutoScout24 —München
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Neura Robotics —München
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6 Tage

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machine learning engineer jobs near münchen, by

(Senior) AI Engineer / MLOps Engineer (m/f/d)

VESTIGAS GmbH
München

Direkt bewerben

Details zur Stelle

Vollzeit

Leistungen

Firmenevents

Qualifikationen

Azure
Informatik
Master
Bachelor
Machine Learning
Terraform
Computerlinguistik
Künstliche Intelligenz
Führungserfahrung
Python

Vollständige Stellenbeschreibung

We're digitizing the construction industry – are you in?

At VESTIGAS, you build the digital backbone of the construction supply chain. We turn purchase orders, delivery notes, and invoices into a digital, legally compliant platform used in everyday operations by construction companies and suppliers. You’ll work on a product with real market traction in the DACH mid-market, ship iteratively, and take ownership of solutions that must work in the field—not just in theory.

Your Role

As a (Senior) AI Engineer / MLOps Engineer, you lead the way in how we run AI at VESTIGAS. You build and maintain the infrastructure that keeps our AI systems reliable, scalable, and secure — and you make sure every model we ship actually creates measurable value for our customers.

You bridge AI engineering and business impact. You work end-to-end: from designing pipelines and integrating models into production, to improving accuracy and uncertainty estimation of features already live, to supporting product and sales discussions where AI capabilities matter.

You set the standard for engineering practices, tooling, and quality across our AI work — and you raise the bar for everyone around you.

Your Mission

You lead our MLOps processes and build the infrastructure that keeps our AI systems reliable, scalable, and secure.
You design and implement advanced features for our AI-driven supply chain operating system, working closely with engineering and product to ship machine learning models and data pipelines into production.
You improve the accuracy, efficiency, and uncertainty estimation of our existing AI features and run rigorous testing to ensure their quality and reliability.
You contribute to the scalability, maintainability, and core functionality of our AI solutions — and help build new ones from scratch.
You bridge AI engineering and business value by aligning technical initiatives with customer needs and supporting sales and product discussions where it counts.
You establish and uphold high standards in our engineering practices, tooling, and processes.
You use modern AI tools like Copilot, Claude, and Cursor to ship faster — and you know where they help and where they don't.

Your Profile

Bachelor's or Master's degree in Engineering, Computer Science, or a related field.
5+ years of experience in MLOps and machine learning, including end-to-end lifecycle management and hands-on work with natural language processing and image processing techniques.
You're passionate about building AI solutions — particularly in generative AI combined with OCR — and you prioritize customer value as much as technical excellence.
Strong proficiency in Python and Azure, with experience in modern AI frameworks and libraries. Experience with Terraform is a plus.
You write clean, reusable, well-tested code and care about what happens after deployment.
You have a strong affinity for AI agents and tools, know how to put them to productive use, and understand their limits.
Leadership experience (technical or disciplinary) is a plus.
You speak fluent English and have strong reading comprehension in German (B2+).
You're willing to work from our Munich office at least two days per week.

About us

VESTIGAS is the AI-powered supply chain for the construction industry. We turn piles of paper—purchase orders, delivery notes, and invoices—into a digital, legally compliant platform. That saves time, costs, and CO₂ in one of Europe’s largest industries.

We’re a B2B SaaS scale-up with strong market traction:

14 of the Top 20 construction companies in Germany work with VESTIGAS
17 of the Top 20 suppliers are already on board
More than 1,000 companies—from STRABAG to mid-sized suppliers—use our platform every day

Our team has grown significantly over the past two years and now consists of around 60 people with a strong can-do mindset, high ownership, and a bias for execution. From our office in the heart of Munich, we build solutions that don’t just improve things step by step—they enable real leaps forward.

Our mission: to reshape the construction industry with AI—making it more digital, efficient, and sustainable.
More info & open roles: https://vestigas.jobs.personio.de

Diversity makes us better.
We evaluate applications based on skills, perspective, and potential—regardless of personal characteristics. And if you don’t meet every “must-have” 100% but feel this role is a strong fit, please apply anyway. We’d love to hear from you.

Your Benefits

What you'll find with us

Real ownership instead of micromanagement. You shape, you decide, and you see the impact of your work directly in the market.
Direct line to founders and leadership. Flat hierarchies are our everyday reality – short paths, fast decisions.
AI-First workflow. Copilot, Claude, Cursor & co. are standard tools for us. We expect and support their use.
Hybrid work with an office in the heart of Munich, just around the corner from Theresienwiese. Flexible setup with regular office presence – because we believe the best ideas happen in person.
EGYM Wellpass or BahnCard, corporate benefits, team events, annual offsites.
Fair, competitive compensation.

Direkt bewerben

Erweiterte Suche

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