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MEDIAN Unternehmensgruppe B.V. & Co. KG | Germany | 10xxx, 14xxx, 13xxx, 12xxx Berlin | Permanent position | Full time / Home office | Published since: 20.06.2025 on stepstone.de

AI Engineer (m/w/d)

Branch: Nursing, emergency medical ... Branch: Nursing, emergency medical services and obstetrics


MEDIAN is part of the MEDIAN Group, one of the leading European providers of medical rehabilitation and mental health. With more than 120 facilities throughout Germany, MEDIAN offers a dynamic and innovative environment for employees in a wide range of treatment areas with diverse entry and development opportunities. As a specialist for rehabilitation and participation, we accompany our patients on the way to recovery and return to society – according to our guiding principle “Life Life”.

We are looking for you as an AI Engineer (m/w/d)! JOBV1_EN

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Your tasks • Your profile • What we offer

MEDIAN is part of the MEDIAN Group, one of the leading European providers of medical rehabilitation and mental health. With more than 120 facilities throughout Germany, MEDIAN offers a dynamic and innovative environment for employees in a wide range of treatment areas with diverse entry and development opportunities. As a specialist for rehabilitation and participation, we accompany our patients on the way to recovery and return to society – according to our guiding principle “Life Life”.

We are looking for you as an AI Engineer (m/w/d)!

Conception, development and commissioning of AI models and data pipelines Construction and Scale of Machine Learning Infrastructures (Training, Serving, Monitoring) orchestration of LLM workflows for generation, validation and optimization of text, image and multimodal outputs Data Engineering: Collection, preparation and feature engineering of large amounts of data Automation of training and deployment processes (CI/CD for ML) Implementation of model evaluations, continuous performance monitoring Integration of security and data protection standards (e.g. GDPR compliance, access controls) Optimization of existing AI systems with regard to latency, cost and accuracy Collaborative “vibe coding” in the team: code and model reviews, common prompt engineering Adaptation and further development of the AI frontend and tools

Programming: Found experience in Python (Typescript/SvelteKit/Rust of Advantage) AI Frameworks: Safe handling of PyTorch, TensorFlow and ML-Libraries MLOps: Experience with Docker, Kubernetes, Kubeflow, MLflow or similar tools Databases & Storage: SQL/NoSQL, Vector Databases, Big Data Technologies AI technologies: knowledge of LLMs, LoRA Fine tuning, RAG/CAG architectures Post training: Experience in the application of Reinforcement Learning, Active Learning and other advanced techniques Software engineering: TDD, automated testing (Unit, Integration), code reviews and clean code principles Methodology: Multiannual practical experience in agile teams (e.g. Scrum/Kanban) and independent work Communication strength: Secure German and English, ability to communicate complex ML topics Innovationsfreude: Experience with Greenfield projects and the use of the latest AI development tools Quality Consciousness: Detectable Understanding of Security-Best-Practices and Data-Governance Infrastructure: Design of container-based microservice architectures in cloud environments Optional

An indefinite contract with attractive remuneration. The security of a group and the flexibility of a modern company. A competent team with flat hierarchies and high collegiality. High-innovative and exciting projects in diverse AI fields of application. Participation in training, training and conferences. Central office location in Berlin-Charlottenburg with very good connection to the ÖPNV. Free drinks and fruits as well as the possibility of mobile work. Employment pension with employer subsidy. JOBV1_EN

Company location

Location

ava MEDIAN Unternehmensgruppe B.V. & Co. KG
Dorfstraße 5, 23992  Berlin
Germany

The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.

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