Job
- Level
- Senior
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 3.954 to 4.611€ Gross/Month
- Location
- Linz
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop advanced machine learning models and be responsible for the entire implementation and monitoring of the ML lifecycle, including CI/CD, monitoring, and data-driven models.
Job Technologies
Your role in the 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.
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Our expectations of you
Qualifications
- 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.
Experience
- Technical Proficiency: Strong expertise in Python and hands-on experience with core AI/ML libraries, specifically PyTorch, TensorFlow, and/or scikit-learn.
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What we offer
- Onsite onboarding at 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
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
TeamViewer GmbH
As the leading provider of remote connectivity solutions, TeamViewer enables its users to connect everything, everywhere, and anytime.
Description
- Company Size
- 50-249 Employees
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
AI Senior Software Engineer
- Salary
- 3.954 to 4.611€ Gross/MonthNet salary converted from the gross salary in the job ad.2.702 to 3.025 € net/Month
- Location
- Linz
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
