Senior AI Engineer / MLOps Engineer (m/w/d) | Munich | €80,000–100,000

Product Pulse; München; Hybrid; EUR 80.000 - 100.000; Vollzeit

Benefits dieser Stelle

Hybrid working (Munich)

Employee share participation

Flexible working hours

Flat hierarchies

Zusammenfassung

Product Pulse, a Munich-based AI startup, seeks a Senior AI Engineer / MLOps Engineer to design and operate scalable MLOps infra on Azure and deploy production AI/ML models for an enterprise SaaS platform.

You will work with NLP, OCR, and document understanding technologies, collaborating closely with product and engineering teams in a fast-growing environment; fluency in English and German (B2) is required, and onsite work 2–3 days per week in Munich.

Qualifikationen

• 5+ years of experience in AI Engineering or MLOps.
• Strong Python and Azure experience.
• Proven experience deploying machine learning models into production.
• Experience with NLP and/or OCR technologies.
• German (minimum B2) and fluent English.
• Based in the Greater Munich area or able to work onsite 2–3 days per week.

Aufgaben

• Design and operate scalable MLOps infrastructure on Azure.
• Build and deploy production AI/ML models.
• Work with NLP and OCR technologies to improve document understanding.
• Develop AI-powered features for an enterprise SaaS platform.
• Collaborate with Product and Engineering teams in a fast-growing startup.

Kenntnisse

Python

Azure

MLOps

NLP

Document understanding

Leadership

Model deployment

Tools

PyTorch

TensorFlow

MLflow

Kubeflow

OCR tooling

Jobbeschreibung

We're currently supporting an innovative Munich-based AI start-up that's transforming how the construction industry processes documents using cutting-edge AI technology.

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

Munich

€80,000–100,000 salary

What you'll be working with

• Designing and operating scalable MLOps infrastructure on Azure
• Building and deploying production AI/ML models
• Natural Language Processing (NLP) and document understanding
• Developing AI-powered features for an enterprise SaaS platform
• Working closely with Product and Engineering teams in a fast-growing startup
• Python
• MLOps
• NLP

Tech Stack

• Python
• Azure (AI Services)
• MLOps
• NLP
• ML frameworks (PyTorch, TensorFlow, etc.)
• ML tooling (MLflow, Kubeflow)
• OCR / Document Intelligence

What we're looking for

• 5+ years of experience in AI Engineering or MLOps
• Strong Python and Azure experience
• Proven experience deploying machine learning models into production
• Experience with NLP and/or OCR technologies
• German (minimum B2) and fluent English
• Based in the Greater Munich area or able to work onsite 2–3 days per week

Nice to have

• Terraform
• Leadership experience
• Experience in document processing or computer vision
• Previous startup experience

What's on offer

• €80,000–100,000 salary
• Hybrid working (Munich)
• Flexible working hours
• Employee share participation (VSOP)
• Flat hierarchies and real ownership
• The opportunity to help shape AI products from an early stage