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AI-Engineer (m/f/d)

Vantis

München

Hybrid

EUR 60.000 - 80.000

Vollzeit

Vor 30+ Tagen

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Zusammenfassung

A healthcare technology startup in Munich is seeking a (Senior) AI-Engineer to design AI solutions that enhance patient care. You will collaborate closely with Product Managers to deliver impactful products, utilizing your machine learning expertise and tools like Python, PyTorch, and TensorFlow. Strong German skills and a proactive attitude in a startup environment are essential. Enjoy perks like personal development opportunities and flexible working arrangements.

Leistungen

Discounted Wellpass membership
Flexible remote-work options
Personalized training budget
Participation in Virtual Stock Option Program
Healthy snacks in the office
Team events

Qualifikationen

  • 2+ years of experience building and deploying machine learning models in production.
  • Strong fundamentals in machine learning and AI.
  • Entrepreneurial passion for translating business goals into working products.
  • Familiarity with privacy and security principles.
  • Comfortable in a fast-paced startup environment.
  • Good working knowledge of German (min. B2 level).

Aufgaben

  • Design and deliver AI-powered solutions for patient outcomes.
  • Work with Product Managers to create production-ready solutions.
  • Develop and test products with medical practices.

Kenntnisse

Machine learning
Python
NLP/LLMs
Predictive models
German (B2 level)

Tools

PyTorch
TensorFlow
Hugging Face
Jobbeschreibung
Overview

At Vantis, we have a clear mission: to measurably improve the care of patients with chronic illnesses. To achieve this, we are developing a holistic healthcare approach that combines medical excellence on site with the advantages of digital solutions. At the heart of our strategy is a hybrid care concept that integrates modern general practitioner practices with innovative digital tools.

We are looking for a (Senior) AI-Engineer (m/f/d) to design and deliver AI-powered solutions that directly improve patient outcomes and streamline clinical workflows.

This role bridges machine learning, product, and engineering: you’ll work closely with Product Managers to shape concepts into production-ready solutions and ensure they are accurate, explainable, and privacy-first. We develop and test our products directly with our medical practices, enabling us to go from idea to live production in just a few weeks.

What you need to succeed
  • 2+ years of experience building and deploying machine learning models in production (e.g., NLP/LLMs, predictive models, or similar).

  • Strong fundamentals in machine learning and AI, including Python and common frameworks such as PyTorch, TensorFlow, or Hugging Face.

  • Entrepreneurial passion for translating business goals into working products and prioritizing impact over complexity.

  • Familiarity with privacy, security principles, and handling sensitive data; experience in healthcare is a plus but not required.

  • Comfortable working in a fast-paced startup environment, proactively owning projects end to end.

  • Good working knowledge of German (min. B2 level) and ability to work from our Munich office on a weekly basis (several days per week).

Why Vantis
  • Purpose & Impact: Shape the healthcare of tomorrow as part of a dynamic, well-funded startup and help millions of patients with chronic illnesses.

  • Inclusive Team Culture: Join the Vantis team, where everyone makes a meaningful contribution, communication is transparent and open, and small and big successes are celebrated together — whether at after-work events or at Oktoberfest.

  • Healthy Balance: Enjoy fresh snacks in the office, a discounted Wellpass membership, and flexible remote-work options to maintain a balanced and energized daily routine.

  • Modern Ways of Working: Experience an efficient workday with a cross-team understanding of goals and priorities (e.g., through weekly OKR meetings).

  • Personal Development: In a fast-growing startup, you’ll have excellent development opportunities, benefit from a steep learning curve, knowledge sharing across departments, and a personalized training budget.

  • Participation in Company Success: Participate in Vantis’ success and growth through our Virtual Stock Option Program.

Further Information

You can apply quickly and easily using our online application form.

Got questions about the role?

Feel free to reach out to Sophia at +49 157 92357126 or sophia.riemekasten@vantis-health.com — she’ll be happy to help.

www.vantis-health.com

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