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6.090

Python jobs in Germany

(Senior) Machine Learning Engineer (m/f/d)

DocuWare Corporation

Merzig
Hybrid
EUR 60,000 - 80,000
Today
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Senior Data Engineer (m/w/d) im Energieumfeld (Ref.Nr.: 46108)

Wavestone

München
Hybrid
EUR 65,000 - 85,000
Today
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DevSecOps Engineer

Deel

Germany
Remote
EUR 60,000 - 80,000
Today
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Detections Engineering, Threat Evaluation, and Countermeasures Team (DETECT) Analyst

RxREVU, Inc.

Stuttgart
On-site
EUR 60,000 - 80,000
Today
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Administrator Network & Security (m/w/d)

CANCOM

Germany
Hybrid
EUR 55,000 - 75,000
Today
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DevOps Engineer (m/w/d)

Smart Steel Technologies GmbH

Berlin
On-site
EUR 60,000 - 80,000
Today
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Game Data Analyst (f/m/d)

Kolibri Games

Berlin
On-site
EUR 60,000 - 80,000
Today
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Incubator Learning Programme

Cisco

München
On-site
EUR 40,000 - 60,000
Today
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Full Stack Software Engineer – Web Platform & AI (m/f/d)

StudySmarter

München
Hybrid
EUR 60,000 - 80,000
Today
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Data Science Trainee (m/w/d) - Studentjob.ch

Jobster

Gütersloh
Hybrid
EUR 45,000 - 60,000
Today
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Senior MLOps Engineer (f/m/x)

Enpal

Berlin
Hybrid
EUR 70,000 - 90,000
Today
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Software Entwickler (m/w/d) mit Schwerpunkt DevOps

Guldberg GmbH

Ulm
On-site
EUR 55,000 - 75,000
Today
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Data Engineer BI-Kennzahlen (m/w/d)

Stellenanzeigen aus einem Partnerportal

Münster
On-site
EUR 40,000 - 60,000
Today
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IT-Administrator:in

Deutsche Bahn AG

Mainz
On-site
EUR 45,000 - 60,000
Today
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(Senior) Consultant | Datenmanagement Banking (m/w/d)

RxREVU, Inc.

Stuttgart
Hybrid
EUR 50,000 - 70,000
Today
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Entwicklungsingenieur (w/m/d) Antriebstechnik

TRUMPF

Ditzingen
On-site
EUR 55,000 - 75,000
Today
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Abschlussarbeit Thermische Modellierung und Analyse von Kontaktwiderstanden

RxREVU, Inc.

Renningen
On-site
EUR 40,000 - 60,000
Today
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Open-Source-Softwareentwickler:in

FLECS Technologies GmbH

Kempten (Allgäu)
Hybrid
Confidential
Today
Be an early applicant

Senior Consultant KI/ GenAI (w/m/d) - Banking & Finance

EY ifb

Wesel
Hybrid
EUR 55,000 - 75,000
Today
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Junior Software Developer (m/w/d)

Maschinenfabrik Reinhausen

Dresden
On-site
EUR 50,000 - 70,000
Today
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Cloud Engineer (all genders)

Rewire

Heidelberg
On-site
EUR 60,000 - 80,000
Today
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Tech Lead - TypeScript (w/m/d)

PwC

Bremen
Hybrid
EUR 80,000 - 100,000
Today
Be an early applicant

Lead DevSecOps Engineer (m/w/d)

BWI GmbH

München
On-site
EUR 60,000 - 80,000
Today
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Data Engineer (Embedded IT) (d/f/m)

RWE

Essen
On-site
EUR 60,000 - 80,000
Today
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Software Entwickler (m/w/d) (Mobile Working möglich/München)

BRUNATA Wärmemesser Hagen GmbH & Co. KG

München
Hybrid
EUR 50,000 - 70,000
Today
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Senior Machine Learning Engineer
DocuWare Corporation
Merzig
Hybrid
EUR 60.000 - 80.000
Full time
Today
Be an early applicant

Job summary

A leading document management company in Merzig is seeking a (Senior) Machine Learning Engineer to join their innovative AI Hub. The role focuses on enhancing intelligent document processing technology while collaborating with international teams. Candidates should possess strong machine learning skills, a degree in a related field, and expertise in Python. The position offers flexible working conditions, 35 days of vacation, and various unique benefits to support employee well-being and creativity.

Benefits

Flexible work location and hours
35 days of vacation per year
Wellness benefits like a company pension plan
Regular training and support
30 Days Work from Abroad

Qualifications

  • Strong passion for Machine Learning and AI.
  • Proficient in Python, with strong software engineering skills.
  • Fundamental understanding of Deep Learning and experience with RAG systems.
  • Hands-on experience with ML libraries like PyTorch and HuggingFace.
  • Fluency in English.

Responsibilities

  • Build scalable data pipelines for embedding generation.
  • Train, fine-tune, and evaluate neural networks, specifically embedding and generative models.
  • Stay updated with trends in Generative AI and implement them.
  • Collaborate in a cross-functional team for product development.

Skills

Machine Learning
AI
Python
Deep Learning
PyTorch
HuggingFace
Software Engineering

Education

Degree in mathematics, statistics, physics, computer science or related field
PhD (a plus)
Job description
Why should you join?

We are looking for new talent to help us further advance our AI efforts here 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 have been combining leading AI technology with decades of expertise in document management. Together, we are shaping the future of digital business processes and taking our customers' workflows to a new level. Would you like to be part of this success story? Then apply now!

Your Responsibilities

As a (Senior) 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. You stay on the cutting edge by following the latest research trends and never have to worry about data limitations with our 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 only 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 - and you have 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 measures).
  • Well-earned rest: You receive 35 days of vacation per year!
  • Healthy food: Together we enjoy coffee and various other soft drinks, snacks, and fresh fruit—all 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!
  • We offer a stable job with a well established and growing company.
  • Unleash creativity: Enjoy a high degree of freedom to develop your creative ideas and work directly with key decision makers and AI experts.
  • Unique benefits: Choose one of three great options (Bonago, E-Gym or subsidized Deutschlandticket) to suit your needs.
  • 30 Days Work from Abroad: Experience international opportunities and broaden your horizons.
Our Values
Our application process
Your hiring partner

Anja Krieling
Recruiting Specialist & Employer Branding

Here you can find us
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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