Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Location
- Cologne
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop AI-driven agents and data pipelines using Python and LangChain, implement use cases, and maintain the local model portfolio to enhance AI quality in a modern, secure environment.
Job Technologies
Your role in the team
- You develop agents, applications, and data pipelines on our AI platform within our own data center, based on common language models (LLMs), and oversee their deployment and maintenance.
- You implement use cases for the core business areas of our corporate group - from conception through implementation to deployment - thereby contributing to the growth of AI in the largest advertising company of ARD.
- You develop agents and RAG applications using Python and LangChain, connect language models via our API gateway (LiteLLM), and integrate specialized systems through REST and MCP interfaces.
- Together with our architects (m/f/d), you will build data and RAG pipelines, prepare document and data sources for vector and full-text search, and manage automated workflows from data preparation through embedding and retrieval to deployment.
- You manage the local model portfolio (e.g., via Ollama and LiteLLM), maintain version states, and continuously improve retrieval quality, prompts, and response quality.
- You work closely and interdisciplinary with software developers (m/f/d), architects (m/f/d), and our AI Officer (m/f/d), and facilitate the understanding of the operational use of AI models within the specialist departments.
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Our expectations of you
Education
- You have successfully completed or are about to complete a degree in a relevant field such as Computer Science, Mathematical-Technical Software Development (MATSE), Artificial Intelligence, Machine Learning, or Data Science — or you possess comparable practical experience.
Qualifications
- You have experience working with relational databases (e.g., PostgreSQL) and an interest in vector and search databases (e.g., Qdrant, Elasticsearch) for use in RAG scenarios.
- You work cleanly with version control (Git) and have a basic understanding of the secure, data-sovereign operation of applications in your own data center (On-Premise, GDPR). You are open to future hybrid operational models.
- You are a team player, eager to grow together with your team, and you identify with the fundamental idea of public broadcasting.
Experience
- You have good knowledge of programming with Python and some experience in developing AI- or LLM-based applications. Knowledge of agent/LLM frameworks (e.g., LangChain) or ML libraries (e.g., Hugging Face Transformers, PyTorch, scikit-learn) is a plus.
- You have initial experience in building data pipelines and basic knowledge of containerization with Docker. Experience with Compose-based deployments is an advantage.
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What we offer
- We offer a secure AI platform in our own data center with ample space for playing, developing, and testing.
- Our open company culture allows you to start your professional career well or make a career change into a modern company that makes an important contribution to society.
- And all of this at the Cologne location with an attractive mix of on-site and remote work.
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Topics that you deal with on the job
Job Locations
This is your employer
WDR
Die WDR mediagroup GmbH (WDRmg) ist die kommerzielle Tochtergesellschaft des Westdeutschen Rundfunks (WDR). Sie vermarktet und verwertet WDR-Programme und Inhalte weiterer Partner auf allen Verbreitungswegen. Das Kerngeschäft bildet die Werbezeitenvermarktung für die WDR-Hörfunkwellen 1 Live und WDR 2 sowie die Vermarktung der TV-Sponsoring-Umfelder in Das Erste.
Description
- Company Size
- 50-249 Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Media, Publishing, Internet, IT, Telecommunication
Data Scientist/Machine Learning Engineer
- Location
- Cologne
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
