Machine Learning Engineer (m/f/d)

DocuWare; Saarland; Hybrid; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A leading technology firm in Saarland is seeking a Machine Learning Engineer to enhance their document processing technology. You will work closely with international teams, leveraging cutting-edge AI resources while enjoying flexible working hours and extensive vacation days. The ideal candidate possesses a degree in a related field, strong software engineering skills, and a passion for Machine Learning. You will be collaborating in a supportive culture that encourages innovation.

Leistungen

Flexible work location and hours

35 vacation days

Subsidized company pension plan

Team events and activities

Healthy snacks and drinks

Work-from-abroad opportunities

Qualifikationen

• Strong passion for Machine Learning and AI.
• Proficient in Python with a clean code foundation.
• Understanding of Deep Learning and practical experience with RAG systems.

Aufgaben

• Build scalable data pipelines for embedding generation and context retrieval.
• Train and evaluate neural networks, including generative models.
• Collaborate with a cross-functional team to drive product development.

Kenntnisse

Machine Learning

AI knowledge

Python

Software engineering

Deep Learning

RAG systems experience

Ausbildung

Degree in mathematics, statistics, physics, computer science or a related field

PhD (a plus)

Tools

PyTorch

HuggingFace

Jobbeschreibung

Why should you join?

We are looking for new talent to help us advance our AI efforts in the DocuWare AI Hub. You can expect international teams, flat hierarchies, and an open corporate culture that encourages you to get involved. Mobile working and flexible working hours are part of our everyday practice.

We combine leading AI technology with decades of expertise in document management to shape the future of digital business processes and elevate customers’ workflows. If you would like to be part of this success story, apply now!

Your Responsibilities

As a Machine Learning Engineer (m/f/d), you play a vital role in pushing the capabilities of our intelligent document processing technology. You leverage 15 petaflops of compute power to drive your innovations and stay on the cutting edge by following the latest research trends with access to massive, high-quality datasets.

Your main tasks are:

• You bridge the gap between software engineering and machine learning by building scalable data pipelines for embedding generation, vector search, and context retrieval.
• You train, fine-tune, and evaluate neural networks, specifically embedding models and generative models, to improve our semantic document understanding capabilities.
• You stay updated with the latest trends in Generative AI and apply them to build robust, production-grade retrieval and generation systems.
• You work as part of a cross-functional team to drive the development of new features and products, from concept to deployment.

What you need to succeed

• You have a strong passion for Machine Learning and AI—whether as an engineer, a specialist, or someone eager to shape the future of technology.
• You hold a degree in mathematics, statistics, physics, computer science or a related field; if you have a PhD this is a plus.
• You have a strong foundation in software engineering (clean code, design patterns, testing, etc.) and are proficient in Python.
• You possess a fundamental understanding of Deep Learning and ideally have practical experience with RAG systems.
• You have hands-on experience with common ML libraries and frameworks like PyTorch and HuggingFace.
• You are open-minded and willing to further push the boundaries of document-AI.
• You are willing to work on site at the office in Saarbrücken for approximately two to three days each month.
• You are fluent in English.

What we can offer

There are many great reasons to join us—our company culture is one of them. As part of our team, you will benefit from many advantages:

• Flexible work location and hours: You can work on the road or in our modern office, with the flexibility to arrange your own working hours.
• Individual support: After an intensive induction, you will receive regular training tailored to your needs (e.g. conferences, internal team building).
• Well-earned rest: You receive 35 days of vacation per year!
• Healthy food: Coffee, soft drinks, snacks, and fresh fruit are available free of charge.
• Team spirit: Regular employee and team events (virtual or on-site) ensure excellent collaboration with colleagues around the world.
• Your health matters: DocuWare subsidizes your company pension plan.
• Stable job: A well-established and growing company.
• Unleash creativity: A high degree of freedom to develop your ideas and work with key decision makers and AI experts.
• Unique benefits: Choose one of three options (Bonago, E-Gym or subsidized Deutschlandticket) to suit your needs.
• 30 Days Work from Abroad: International opportunities to broaden your horizons.

Your hiring partner
Anja Krieling
Recruiting Specialist & Employer Branding