Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Münster (Hessen)
- Working Model
- Onsite
Job Summary
In this role, you will develop generative AI systems, design and optimize models like LLMs and Diffusion Models, and integrate data-driven architectures into production environments.
Job Technologies
Your role in the team
- As an AI Engineer (m/f/d) at Thalia, you will drive innovations in the field of Artificial Intelligence and actively shape the future of our data-driven solutions.
- You are an expert in generative AI and AI Engineering, with a passion for understanding complex business problems and solving them through advanced AI technologies.
- Your goal is to develop intelligent AI systems and thereby create added value for our company and our customers.
- In this role, you identify complex business problems and develop AI solutions with a focus on Generative AI and AI Engineering.
- When working on ML and Deep Learning systems, you design, train, and optimize models such as Language Models, Diffusion Models, and multimodal AI systems.
- For productive environments, you develop data-driven architectures that efficiently deploy AI models and integrate them into APIs, platforms, and cloud services.
- With modern Retrieval-Augmented Generation techniques, you expand LLMs with structured and unstructured data sources.
- Through advanced prompt engineering and fine-tuning, you improve both open-source and closed-source models.
- In the cloud, you automate pipelines for data pre-processing, model training, and deployment using MLOps practices.
- By developing internal AI tools, you support departments in decision-making and enhance their efficiency.
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Our expectations of you
Education
- University degree in Computer Science, Data Science, Mathematics, or a related field.
Qualifications
- In-depth knowledge in the fields of Machine Learning and Generative AI, especially with LLMs (e.g., OpenAI, Llama, Claude, Gemini) and Diffusion Models.
- Excellent knowledge of Python and state-of-the-art libraries and frameworks such as: TensorFlow, PyTorch, LangChain, and the GenAI tool stack.
- Knowledge in Prompt Engineering, LoRA, PEFT, and Fine-Tuning of LLMs, as well as in the evaluation of AI models with benchmarks.
Experience
- Experience in model deployment with MLflow, Kubeflow, or Vertex AI.
- Experience with cloud environments (particularly GCP), especially in the area of AI services, containerization (Docker, Kubernetes), and serverless computing.
- Experience with modern ML workflows, version control with Git, and deployment of ML models in production environments.
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What we offer
- In addition to many classic benefits such as company bike, public transport discount, or employee discount, you will find room for creativity with us.
- Bring your ideas to life and actively shape the future of Thalia.
- Benefit from various training opportunities and individual career paths.
- Your contribution has a direct impact on our digital competence - especially in the areas of e-commerce, IT security & maintenance.
- Work flexibly and independently in an open, dynamic environment.
- Experience collaboration and mutual support at all levels.
- We value diverse perspectives and promote diversity.
- Join #TeamThalia and help us shape the transformation of our company.
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Benefits
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Topics that you deal with on the job
Job Locations
This is your employer
Thalia
The Thalia Books GmbH, headquartered in Hagen, is a book retailer and service provider.
Description
- Company Size
- 50-249 Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Media, Publishing, Trade
Employer reviews
by devworkplaces.com
Total
(1 Review)2.8
Engineering
2.7Culture
3.0Career Growth
2.6Workingconditions
3.0
AI Engineer - Focus on Generative AI Systems
- Location
- Münster (Hessen)
- Working Model
- Onsite
- Diversity
- Open for all genders
