AI Engineer
TeamViewer
full-time
Posted on:
Location Type: Hybrid
Location: Linz • 🇦🇹 Austria
Visit company websiteSalary
💰 €3,843 per month
Job Level
Mid-LevelSenior
Tech Stack
DockerPythonPyTorchScikit-LearnTensorflow
About the role
- 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
Requirements
- 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
Benefits
- 28 days of well-deserved holidays
- Onsite Onboarding in our HQ office for an optimal start
- Great compensation and benefits packages including company achievement bonus and stock-based options
- Regular salary reviews
- Public transport friendly office
- 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 and frequent all Hands
- Hybrid and Flexible work time with up to 50% home office
- Work From Abroad Program allowing up to 40 days of work outside your contracting country
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdeep learningdata analysisMLOpsPythonPyTorchTensorFlowscikit-learnfeature engineeringstatistical modeling
Soft skills
analytical skillsproblem-solving skills