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TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
- Develop and deploy advanced machine learning and deep learning models for real-world applications
- Build and refine high-quality datasets, ensuring robustness and relevance
- Conduct data analysis to guide model development and validate performance
- Manage the end-to-end ML lifecycle — from training and tuning to validation and deployment
- Implement MLOps practices (CI/CD, monitoring, automation)
- Work with Python and core AI/ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)
- Containerize models using Docker for scalable deployment
- For LLM applications: design and test prompts, evaluate outputs, and support data labeling and fine-tuning
- Collaborate with Product Owners, Software Engineers, and QA teams to integrate AI models into production
- Proven experience developing and deploying ML models in production
- Strong Python skills and hands-on experience with PyTorch, TensorFlow, or scikit-learn
- Solid understanding of ML algorithms, deep learning architectures, and statistical modeling
- Experience with feature engineering, data preprocessing, and MLOps tools
- Familiarity with Docker and CI/CD pipelines
- Excellent analytical and problem-solving skills
- Onsite Onboarding in our HQ office for an optimal start
- An attractive compensation package above the collectively agreed minimum basic salary (according to the IT-KV, Regelstufe with classification ST1/rule: EUR 3.954, with ST2/rule: EUR 4.611 gross/month)
- 28 days of well-deserved holidays
- Great benefits package including company achievement bonus
- Special terms for local gyms
- Access to Corporate Benefits platform with many discounts
- Regular team events and company-wide celebrations
- Open door policy, no dress code rules, frequent all Hands and Leadership Lunches
- Work From Abroad Program allowing up to 40 days of work outside your contracting country
- We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us!
Key Skills
Ranked by relevance
deep learning
tensorflow
pytorch
python
docker
mlops
cicd
ai
c
machine learning
data analysis
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- Posted
- May 07, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Linz
- Company
- TeamViewer
Industries
Software Development
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Data Scientist
2026-05-27
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Engineering
View Job Details
Related
Senior Genrative Ai Engineer - Remote
2026-05-28
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View Job Details
Related
Software Engineer (Backend Focus)
2026-05-27
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