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1.196

Machine Learning jobs in Germany

AI Engineer for OSS AI Startup

AI Engineer for OSS AI Startup
Rhesis AI
Berlin
EUR 70,000 - 90,000
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KI-Berater / AI Consultant (m/w/d)

KI-Berater / AI Consultant (m/w/d)
HanseVision GmbH
Hamburg
EUR 55,000 - 75,000

Lead Data Engineer

Lead Data Engineer
THRYVE
Stuttgart
EUR 70,000 - 90,000

Duales Studium Data Engineer - Entwicklung / AI / Software (m/w/d)

Duales Studium Data Engineer - Entwicklung / AI / Software (m/w/d)
Campusjäger by Workwise
Ludwigsburg
EUR 40,000 - 55,000

Dualer Master & Job als Data Engineer (m/w/d)

Dualer Master & Job als Data Engineer (m/w/d)
Campusjäger by Workwise
Ludwigsburg
EUR 40,000 - 65,000
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Lead Data Engineer

Lead Data Engineer
THRYVE
Köln
EUR 70,000 - 100,000

Duales Studium Data Engineer (m/w/d)

Duales Studium Data Engineer (m/w/d)
Campusjäger by Workwise
Ludwigsburg
EUR 50,000 - 65,000

Lead Data Engineer

Lead Data Engineer
THRYVE
Frankfurt
EUR 70,000 - 100,000
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Lead Data Engineer

Lead Data Engineer
THRYVE
Leipzig
EUR 70,000 - 100,000

Lead Data Engineer

Lead Data Engineer
THRYVE
Essen
EUR 70,000 - 100,000

AI Developer (m / f / d)

AI Developer (m / f / d)
sewts
München
EUR 55,000 - 75,000

Senior Consultant Data Science (m/f/d)

Senior Consultant Data Science (m/f/d)
Simon-Kucher & Partners
Berlin
EUR 50,000 - 80,000

Data Scientist (m/w/d)

Data Scientist (m/w/d)
TieTalent
Hamburg
EUR 55,000 - 85,000

2x Data Scientists (bitte nur bewerben, wenn die Muss Kriterien erfüllt sind) (m/w/d)

2x Data Scientists (bitte nur bewerben, wenn die Muss Kriterien erfüllt sind) (m/w/d)
Westhouse Group
Frankfurt
EUR 60,000 - 85,000

Data Scientist (m / f / d)

Data Scientist (m / f / d)
Data-Talent GmbH
Dortmund
Remote
EUR 70,000 - 95,000

Software Architect

Software Architect
Next Phase Recruitment
Düsseldorf
Remote
EUR 70,000 - 100,000

(Senior-) KI-Software Engineer (m / w / d)

(Senior-) KI-Software Engineer (m / w / d)
Solve42 GmbH
Mannheim
EUR 55,000 - 72,000

Junior Frontend developer (m/f/d)

Junior Frontend developer (m/f/d)
Align Technology
Berlin
EUR 45,000 - 60,000

Artificial Intelligence Engineer

Artificial Intelligence Engineer
Digital Waffle
Dortmund
EUR 70,000 - 85,000

Head of Developer Relations (DevRel)

Head of Developer Relations (DevRel)
Qdrant
Berlin
EUR 100,000 - 150,000

Ph.D. student for the ATLAS Group

Ph.D. student for the ATLAS Group
Deutsches Elektronen-Synchrotron (DESY)
Hamburg
EUR 40,000 - 60,000

(Senior) Customer Engineer / Cloud Architect - Google Cloud (all genders)

(Senior) Customer Engineer / Cloud Architect - Google Cloud (all genders)
adesso SE
Ulm
EUR 70,000 - 90,000

Wissenschaftliche*r Mitarbeiter*in ‒ Geometrieverarbeitung, KI/ML & Simulation

Wissenschaftliche*r Mitarbeiter*in ‒ Geometrieverarbeitung, KI/ML & Simulation
Fraunhofer IGD
Darmstadt
EUR 50,000 - 70,000

Data Scientist Praktikant - Vehicle Recommendations (m/w/d)

Data Scientist Praktikant - Vehicle Recommendations (m/w/d)
ZipRecruiter
Ulm
EUR 40,000 - 60,000

AI Engineer / AiOps (m/w/d)

AI Engineer / AiOps (m/w/d)
Diehl Defence
Nonnweiler
EUR 55,000 - 75,000

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E Learning jobsLearning Development jobs

AI Engineer for OSS AI Startup

Rhesis AI
Berlin
EUR 70.000 - 90.000
Job description

Join us at Rhesis AI – Open-source test generation and management for Gen AI applications that deliver value, not surprises!


At Rhesis AI, we empower organizations to develop and deploy Gen AI applications that meet high standards for reliability, robustness, and compliance. As the creators of an open-source solution for test generation & management, we enable AI teams to build context-specific tests, and collaborate directly with domain experts.


We're currently part of the K.I.E.Z. Accelerator at the Merantix AI Campus in Berlin, where we’re building the testing infrastructure Gen AI needs to earn trust at scale.


If you’re passionate about advancing trustworthy AI through practical tools and collaborative infrastructure, we invite you to join our mission.


Tasks

What you will do:



  • Oversee and/or execute the design, development, fine-tuning, and deployment of large language models and generative AI systems for the Rhesis AI platform.

  • Implement LLMOps best practices to streamline the lifecycle from data ingestion to model deployment and continuous improvement.

  • Stay updated on the latest advancements in AI, ML, and NLP to inform strategic decision-making and product innovation.

  • Develop LLM-enabled data pipelines using tools job orchestration tools to integrate large-scale language models into data workflows.

  • While your role will be primarily focused on artificial intelligence and machine learning, you will contribute to data engineering, MLOps, and general software engineering tasks as needed by the team.


Requirements

You are great for this role, if you have:


Important Skills



  • Hands-on experience with Large Language Models and Generative AI.

  • Strong background in Python programming, ML frameworks (JAX, PyTorch, TensorFlow, HuggingFace Transformers, Scikit-Learn), and MLOps expertise.

  • Knowledge of ML fundamentals and software engineering best practices, such as testing.

  • Experience in the development of robust, production-ready code.

  • Experience in Natural Language Processing.


Awesome Skills



  • Experience with research, development and/or replication of state-of-the-art ML models / papers.

  • Building and fine-tuning deep learning models for deployment and inference.

  • Knowledge of cloud-native solutions (GCP, Azure, AWS).


Overall skills



  • Solid software engineering skills with the ability to design sophisticated software systems, curate datasets, and train models for scientific applications.

  • Proficiency in Python programming and developing production-ready code for data-driven applications.

  • Expertise in system design and problem-solving, including the ability to decompose complex problems into simpler solutions.


In summary, the candidate should have a strong background in both machine learning and software engineering, with specific expertise in developing and deploying advanced machine learning models, along with a solid understanding of modern development practices and tools.


Benefits

We’re excited to offer a fixed one-year contract (with very likely extension), starting 1 June, along with a range of benefits to support our team members, including:



  1. Work at the forefront of Gen AI: Collaborate with some of the most innovative companies building LLM applications. Contribute to the trustworthiness of AI by shaping open-source tools that define how Gen AI is tested and validated.

  2. Flexible work arrangements: We understand the importance of work-life balance and offer flexible working options to accommodate personal needs and preferences. We have offices in Berlin and Potsdam (Griebnitzsee).

  3. Compensation: We offer salaries and benefits tailored to your experience and qualifications, along with the opportunity to gain ownership in the company.

  4. A supportive and collaborative work environment: We foster a culture of teamwork, collaboration, and mutual respect, where every team member is valued and supported in their professional and personal growth.


At Rhesis AI, we value diversity and inclusion, believing that diverse perspectives enrich our team and drive innovation. We encourage applications from individuals of all backgrounds, regardless of gender, nationality, religion, or other personal characteristics. Even if you don’t meet every requirement listed, we encourage you to apply—your unique skills and experiences could be exactly what we need to succeed.


Ready to Join Us?


If you’re passionate about full stack development, excited by the prospect of working with cutting-edge AI technology, and committed to making AI responsible, we’d love to hear from you!


Apply now and help us build solutions that shape the future of AI!

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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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