AI Software Engineer (all genders)

Linz - Austria

Monthly Salary: Not Disclosed

Posted on: 20 hours ago

Vacancies: 1 Vacancy

Job Summary

TeamViewer provides a leading Digital Workplace platform that connects people with technologyenabling 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 645000 customers across all industries rely on. With more than 1900 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

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

What we offer

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 3.724 with ST2/rule: EUR 4.346 gross/month)
28 days of well-deserved holidays
Onsite Onboarding in our HQ office for an optimal start
Great benefits package including company achievement bonus company stocks and regular salary reviews
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!

TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse values-driven culture makes us stronger. As we continue to grow as a company we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender civil or family status sexual orientation religion age disability education level or race.

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

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

What we offer

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 3.724 with ST2/rule: EUR 4.346 gross/month)
28 days of well-deserved holidays
Onsite Onboarding in our HQ office for an optimal start
Great benefits package including company achievement bonus company stocks and regular salary reviews
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!