AI-Engineer
Build the intelligent backbone that powers Europe’s most trusted pharmaceutical distribution system.
Who we are
Pharmacom is a technology-driven pharmaceutical distribution company based in Vienna. We connect leading pharmaceutical manufacturers with pharmacies across Europe through our exclusive Direct-to-Pharmacy (DTP) model.
Our systems combine intelligent logistics, predictive data, and human expertise to ensure that patients always receive the medicines they need safely, efficiently, and on time.
Your Responsibilities
- Develop, train, and deploy machine learning models for demand forecasting, risk detection, and quota optimization.
- Build AI-based solutions that support real-time supply monitoring and predictive analytics.
- Collaborate with Data Analysts and Operations to turn data insights into operational improvements.
- Integrate AI modules into our proprietary system Cloey for smarter decision-making.
- Continuously research and test emerging AI technologies (LLMs, anomaly detection, reinforcement learning).
- Ensure compliance with GDP and data protection standards across all AI projects.
What you bring
- 2+ years of experience in machine learning or data science, ideally in a regulated environment (pharma, logistics, healthcare).
- Strong Python skills and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience in data preprocessing, modeling, and API integration.
- Analytical mindset with attention to detail and process stability.
- Fluent in English; German is a plus.
Why Pharmacom
- Work at the intersection of pharma and deep tech.
- Flat hierarchies & high autonomy — your models directly impact patient access.
- Flexible working hours & hybrid setup.
- Annual training budget for professional growth.
- Be part of a team trusted by 7 of the world’s 10 largest pharma companies.
- Hybrid office at the core of our DNA, combining focus, flexibility, and collaboration.
- We are a digital-first company, where innovation drives everything we do.
- Be part of a growing company shaping the future of pharma distribution.
- Join a team trusted by 5 of the world’s 7 largest pharma companies.
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
Text link
Bold text
Emphasis
Superscript
Subscript
Join us