Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Regenstauf
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will shape AI architectures, develop Machine Learning models, build automated data pipelines with Python and KNIME, and create intelligent systems for data access.
Job Technologies
Your role in the team
- Participation in the design and further development of the group-wide AI architecture - collaboratively within the team, transparent and comprehensible for all stakeholders.
- Development, training, and evaluation of machine learning models (traditional ML as well as generative AI / Large Language Models).
- Development and operation of automated data pipelines with KNIME and Python – from raw data source to production application.
- Design and implementation of Retrieval-Augmented Generation (RAG) systems and LLM-based agents for intelligent enterprise data exploration.
- Close collaboration with colleagues from various departments on a shared overall architecture - collectively, openly, and at eye level.
- Active dissemination of data competence to business users through no-code and low-code approaches (e.g., KNIME Business Hub) - knowledge remains within the team, not in the black box.
- Support in the implementation and maintenance of AI tools and platforms (LLM-Gateway, MCP Server, Custom Apps) in accordance with Wimex AI architecture.
- Documentation of models, pipelines, and architectures in a way that other team members can understand, adopt, and further develop.
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Our expectations of you
Education
- Completed degree in Computer Science, Data Science, Business Informatics, Mathematics, or a related field - alternatively, proven practical experience.
Qualifications
- Solid understanding of classical machine learning methods (regression, classification, clustering, model evaluation).
- Programming skills in Python (e.g., scikit-learn, LangChain, Hugging Face, FastAPI).
- Strong team collaboration skills: You enjoy working together on complex architectures, proactively share your knowledge, and see collective success as the goal — not personal indispensability.
- Enjoyment in inspiring non-technical people with data and enabling them to work independently through No-Code/Low-Code tools.
- Hands-on mentality: You quickly turn ideas into action and consistently improve them — pragmatic and solution-oriented.
- Very good spoken and written German skills; English skills for technical documentation are an advantage.
Experience
- Knowledge of KNIME (workflow creation, data pipelines, automation); experience with the KNIME Business Hub is advantageous.
- Practical experience in the field of Generative AI: language models (LLMs), prompt engineering, RAG architectures, and LLM agents.
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What we offer
- A long-term job in a recession-proof industry.
- A key role in building a modern, group-wide AI architecture - with real scope for design.
- An open, collaborative team that shares knowledge and grows together.
- Flexible working hours with the possibility of hybrid work.
- Responsible tasks and short decision-making paths.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Wimex-Gruppe
The Wimex Group is a medium-sized family business based in Baasdorf, operating internationally in the agricultural and energy sectors. With around 900 employees, the company focuses on poultry, vegetables & fruits, energy, and smart farming.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Agriculture, Silviculture
Data Science Engineer
- Location
- Regenstauf
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
