Job
- Level
- Senior
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- 3.954 bis 4.611€ Brutto/Monat
- Ort
- Linz
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du fortschrittliche Machine Learning-Modelle und stehst für die gesamte Implementierung und Überwachung des ML-Lifecycles verantwortlich, einschließlich CI/CD, Monitoring und datengetriebenen Modellen.
Job Technologien
Deine Rolle im Team
- Design and Implement Models: Research, develop, and deploy advanced machine learning and deep learning models for high-impact, real-world applications.
- Drive the ML Lifecycle: Own the end-to-end process from initial data exploration and high-quality dataset creation to model training, tuning, validation, and production deployment.
- Establish MLOps: Implement robust MLOps practices, including Continuous Integration/Continuous Deployment (CI/CD), automated monitoring, containerization (e.g. With Docker) and infrastructure automation to ensure model reliability and scalability.
- Drive Improvement & Learning: Focus on prompt engineering, quantitative output evaluation and data labeling strategies. Create strategies to assure high quality model outputs.
- Collaborate and Integrate: Partner closely with Product Managers, Software Engineers, and QA teams to seamlessly integrate AI solutions into our core product ecosystem.
Unsere Erwartungen an dich
Qualifikationen
- Foundational Knowledge: Solid theoretical and practical understanding of ML algorithms, deep learning architectures, statistical modeling, and data analysis principles.
- Analytical Rigor: Excellent analytical and quantitative problem-solving skills, with a data-driven approach to decision-making and performance validation.
- Effective Communication: Ability to clearly articulate complex technical concepts and model limitations to both technical peers (Software Engineers) and non-technical stakeholders (Product Managers and Leadership).
- Proactive Collaboration: You are a team player who thrives in a cross-functional environment, actively seeking feedback and driving collaborative solutions for integration challenges.
- Ownership Mentality: You take full ownership of your projects, from initial concept through deployment and ongoing monitoring in production.
Erfahrung
- Technical Proficiency: Strong expertise in Python and hands-on experience with core AI/ML libraries, specifically PyTorch, TensorFlow, and/or scikit-learn.
Unser Angebot
- 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
Benefits
Gesundheit, Fitness & Fun
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
TeamViewer GmbH
TeamViewer ist der weltweit führende Anbieter von Remote-Connectivity-Lösungen und ermöglicht es Nutzern alles, jederzeit und überall zu verbinden.
Description
- Unternehmensgröße
- 50-249 Employees
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
AI Senior Software Engineer
- Gehalt
- 3.954 bis 4.611€ Brutto/MonatNetto aus dem Bruttogehalt im Inserat umgerechnet.2.702 bis 3.025 € netto/Monat
- Ort
- Linz
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
