Trainee AI Engineer (m/w/d)

5 days ago

Frankfurt, GermanyEntry Level

Responsibilities

Design generative-AI and NLP solutions for customer projects and collaborate with customers and stakeholders.
Develop NLP use cases such as knowledge-management solutions with retrieval-augmented chatbots and language-model fine-tuning.
Implement robust, extensible, and high-performance ML pipelines across infrastructures such as Azure.
Support product development, portfolio expansion, marketing-content creation, customer-meeting preparation, and presentations.
Stay current with NLP and AI repositories, methods, tools, and research papers.

Bachelor’s or master’s degree, preferably in Data Science, business/economics, statistics, computer science, or business informatics.
Practical experience in Data Science and consulting.
Extensive knowledge of Machine Learning and Deep Learning, especially Transformers, LLMs, and generative AI.
Experience with Hugging Face Transformers, OpenAI APIs, tokenizers, and ML frameworks such as PyTorch.
Ideally, experience with cloud deployments and MLOps on Azure, GCP, or AWS.
Very good German and English skills at least at C1 level, strong communication skills, and the ability to explain complex topics to target audiences.
Willingness to make occasional customer trips within Germany, Austria, and Switzerland.

One-year trainee program preparing participants for a junior Data Science consulting role, with feedback, individual development, training, and mentoring.
Open, diverse, appreciative workplace with flat hierarchies, short decision paths, and strong team collaboration.
Frankfurt office as the central workplace, with regular remote work and up to four weeks per year working from another EU country.
Discounted Deutschlandticket, reduced-price Wellpass sports and wellness access, high-quality IT equipment such as a MacBook Pro, team events, childcare subsidies, and employee discounts.
Structured and transparent salary bands adjusted regularly to market and performance developments.