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AI & ML Engineer; f​/m​/d

Job in Germany, Pike County, Ohio, USA
Listing for: B. Braun Melsungen AG
Full Time position
Listed on 2026-07-14
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 102798 - 137064 USD Yearly USD 102798.00 137064.00 YEAR
Job Description & How to Apply Below
Position: AI & ML Engineer (f/m/d)
Location: Germany

You’re an important part of our future. Hopefully, we’re also a part of your future! At

B. Braun, we protect and improve the health of people worldwide. You support this vision, bringing expertise and sharing innovation, efficiency and sustainability as values. That’s why we would like to keep developing our company with you. Keeping your future in mind, we’re making a joint contribution to health care worldwide, with trust, transparency and appreciation. That's Sharing Expertise.

Functional Area:

Information Technology

Working Model:
Hybrid

We are looking for an experienced AI & ML Engineer (f/m/d) at the earliest possible date for our location in Melsungen to take on a central technical role in our Data Intelligence & Data Innovation team. You will design and implement production-grade AI systems and act as a key advisor and role model within our growing AI community, translating cutting‑edge AI capabilities into scalable, reliable products that deliver real business value.

Taks

and Reponsibilities:
  • Lead the technical delivery of complex AI solutions, driving technical planning and ensuring successful execution within time, budget, and quality targets
  • Collaborate with international, multidisciplinary stakeholders to translate requirements into concrete AI solution designs and communicate technical concepts to non-technical audiences
  • Design and implement complex, production‑grade AI systems, including:
    • End‑to‑end AI solution architecture of scalable, cloud‑native data/model pipelines or AI components in software applications
    • LLM‑based workflow automations and conversational AI systems
    • AI agents with multi‑agent orchestration
    • RAG (Retrieval Augmented Generation) systems
    • Classical ML models and predictive analytics pipelines (regression, classification, anomaly detection)
    • Automated training, validation, and deployment pipelines (CI/CD for ML), model registry and model monitoring
  • Stay current with the latest AI topics and bring new techniques into the organization through projects, community work, and proof of concepts
  • Act as a technical role model within our AI community
  • You hold a Bachelor’s degree or higher in Computer Science, Mathematics, Engineering, Data Science, Artificial Intelligence, or related technical field
  • You demonstrate strong proficiency in Python and common AI frameworks (e.g. Lang Chain, Llama Index, Scikit-learn, etc.)
  • A solid understanding of AI solution architecture principles including scalability, security, cost‑efficiency and maintainability sets you apart
  • You have hands‑on experience with LLM‑based applications, including RAG systems and AI agents
  • Working with Microsoft Azure (e.g., Azure Machine Learning, Azure OpenAI Service, Azure Container Apps, or comparable services) is something you are comfortable with
  • Experience with Azure Databricks for large‑scale data processing and ML workflows is an advantage
  • Ideally, you have gained experience in working within highly regulated environments
  • You have a strong passion for Generative AI and emerging technologies
  • A solution‑oriented mindset combined with a pragmatic approach to problem‑solving defines your way of working
  • You are able to translate business requirements into effective AI‑driven solutions
  • Curiosity, self‑motivation, and a continuous desire to learn drive your professional development
  • You work in a structured, quality‑focused manner and hold yourself to high standards
  • Fluent in English, written and spoken. German and/or Spanish is an advantage
  • Company pension scheme
  • Mobility benefits, e.g., the

    B. Braun Job Ticket or Job Bike
  • Flexible working hours such as flextime and mobile work
  • Various working models, e.g., job sharing/part‑time

Diversity makes us stronger! That is why we explicitly encourage people of all identities, lifestyles, and backgrounds to apply.

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