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Generative AI Data Scientist (f/m/d) Job Opening In Munich – Now Hiring Dennemeyer


Job description

You will

collaborate with other data science teams within the Dennemeyer Group.

Your role will focus on building AI systems that automate tasks or enhance capabilities, working closely with business and development teams to ensure stakeholder satisfaction and achieve high-quality standards.

Your Responsibilities:

  • Design, develop, test, and optimize machine learning (ML), Generative AI (GenAI), and large language models (LLMs) for AI/ML pipelines.

    This includes tasks such as data ingestion, preprocessing, search, Retrieval-Augmented Generation (RAG), Agentic Models, model fine-tuning, and prompt engineering

  •  Design and implement robust data pipelines to ensure efficient data processing, transformation, and storage, maintaining high data quality and availability for GenAI models

  • Actively monitor and troubleshoot data processing workflows to guarantee timely data availability.

    Address any performance bottlenecks to enhance overall system efficiency

  • Engage with business stakeholders to understand challenges, assist in GenAI solution implementation, and guide them through production paths

  • Create best practice guides, tutorials, and presentations for technical and business stakeholders, and maintain comprehensive documentation of ML processes

  • Your Profile:

  • Bachelor’s or Master’s Degree in Statistics, Mathematics, Computer Science, AI, Machine Learning, or related fieldswith a strong emphasis on AI technologies.

  • Proven experience in data science, with a specialization in Generative AI and Large Language Models, utilizing techniques for analyzing large, unstructured 

  • Experience with cloud-based AI services and platforms such as Google AI Platform, or Azure AI for deploying scalable AI solutions.

    Familiarity with modern deployment architectures, e.g., Docker 

  • Knowledge in understanding of AI and agentic AI frameworks and tooling (e.g., Hugging Face), developer tools (e.g., GIT).

    Ability to build advanced workflows, includingRAG, model chaining, dynamic prompting, Langchain, and similar tools.

  • Strong programming abilities,hands-on experience with Python and relevant machine learning libraries (e.g., scikit-learn, TensorFlow, Keras, etc.) 

  • Experienced with SQL and NoSQL databases and familiar with data engineering tools and frameworks

  • Understanding of APIs and software integration to ensure seamless system communication

  • Fluency in English is mandatory, both written and oral

  • Join and grow with us!

  • Develop and customize your long-time career within a fast growing multinational company

  • Enjoy working in multicultural teams and contribute to a diverse and international working environment

  • Organize your lifestyle with flexible working hours

  • Take the opportunity to act independently and entrepreneurial in your area of responsibility and profit from flat hierarchies and short decision-making processes

  • Celebrate success together as one team at our various corporate events

  • Attend a tailor-made onboarding program as well as individual training & development opportunities

  • Contribute through your personality and your daily work to make an impact on our business, corporate culture, society and environment

  • If you are passionate about GenAI and want to work with a dynamic team of experts in the field of IPR analytics, then we want to hear from you! 

    Required Skill Profession

    Mathematical Science Occupations


    • Job Details

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Dennemeyer adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying Germany laws and regulations

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