WD
KI-Trainee für Machine Learning (Remote)
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Remote · Austria Entry Level 6d ago
About the role
English Translation & Optimized Job Posting
Remote KI‑Trainee (Machine Learning) – Join a Leading AI R&D Company
Location: Remote (based in Feldkirch, Austria)
About the Role
Our client, a top‑tier research and development firm specializing in Artificial Intelligence, is offering an ambitious KI‑Trainee the chance to dive deep into the world of Machine Learning. This fully remote position lets you contribute to groundbreaking projects from anywhere, while being mentored by seasoned AI specialists.
What You’ll Do
| Core Responsibilities | Details |
|---|---|
| Hands‑on ML Projects | Work on real‑world machine‑learning initiatives under expert guidance. |
| Algorithm & Framework Exploration | Apply and experiment with a variety of ML algorithms using TensorFlow, PyTorch, etc. |
| Data Preparation | Perform data cleaning, feature engineering, and dataset curation. |
| Model Development | Train, fine‑tune, and evaluate models for complex problems across multiple domains. |
| Team Collaboration | Join a dynamic, international, fully virtual team. |
| Learning & Development | Attend internal trainings, workshops, and research seminars. |
| Documentation | Write clear documentation of research work and results. |
| Specialisation Paths | Deepen expertise in Deep Learning, NLP, or Computer Vision. |
| Innovation | Pitch and implement your own ideas to advance the company’s AI solutions. |
Who You Are
| Required Profile | Details |
|---|---|
| Education | Completed or advanced studies (M.Sc. / Ph.D.) in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field. |
| Mathematical Foundations | Strong grounding in mathematics and statistics. |
| Programming Skills | Practical experience with Python and common ML libraries (e.g., NumPy, pandas, scikit‑learn). |
| ML Knowledge | Basic understanding of machine‑learning concepts and workflows. |
| Soft Skills | High learning agility, analytical mindset, independent & structured work style. |
| Language | Proficient English (written & spoken). |
| Motivation | Passion for working in a fast‑evolving, innovative tech environment. |
What We Offer
- Fully Remote Work – Flexibility to work from any location.
- Mentorship – Direct guidance from senior AI researchers.
- Cutting‑Edge Projects – Exposure to state‑of‑the‑art AI challenges.
- Continuous Learning – Access to internal courses, workshops, and research talks.
- Collaborative Culture – International, virtual team with a strong knowledge‑sharing ethos.
- Career Kick‑Start – Ideal springboard for a long‑term career in AI/ML.
Application Process
If you’re eager to accelerate your AI career and contribute to pioneering research, please submit:
- Resume/CV (highlighting relevant projects and academic work).
- Cover Letter (explain why you’re a great fit and which AI domain excites you most).
- Portfolio or GitHub (optional but highly recommended – showcase code, notebooks, or publications).
Ready to shape the future of AI? Apply now and become part of a visionary team that turns research into real‑world impact.
Feel free to let me know if you need a more compact version, a German‑language posting, or assistance tailoring the ad for specific job boards.
Requirements
- Starke mathematische und statistische Grundlagen.
- Erste praktische Erfahrung mit Programmiersprachen wie Python und gängigen ML-Bibliotheken.
- Grundlegendes Verständnis von Machine Learning Konzepten.
- Hohe Lernbereitschaft, analytische Fähigkeiten und eine eigenständige, strukturierte Arbeitsweise.
- Gute Englischkenntnisse in Wort und Schrift.
- Motivation, in einem innovativen und sich schnell entwickelnden Technologiefeld tätig zu sein.
Responsibilities
- Praktische Arbeit an realen Machine Learning Projekten unter Anleitung erfahrener KI-Spezialisten.
- Erforschung und Anwendung verschiedener ML-Algorithmen und Frameworks (z.B. TensorFlow, PyTorch).
- Datenaufbereitung, Feature Engineering und Modelltraining.
- Implementierung und Evaluierung von ML-Modellen zur Lösung komplexer Probleme in verschiedenen Domänen.
- Zusammenarbeit in einem dynamischen, internationalen und virtuellen Team.
- Teilnahme an internen Schulungen, Workshops und Forschungsseminaren.
- Dokumentation von Forschungsarbeiten und Ergebnissen.
- Vertiefung Ihrer Kenntnisse in Bereichen wie Deep Learning, Natural Language Processing oder Computer Vision.
- Möglichkeit, eigene Ideen einzubringen und zur Weiterentwicklung unserer KI-Lösungen beizutragen.
Skills
Computer VisionDeep LearningMachine LearningNatural Language ProcessingPyTorchPythonTensorFlow
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