Career

Develop prototypes in Python and scale systems to production readiness.

Depending on your experience, work on

• projects involving basic machine learning (Random Forests, SVMs and clustering)
• demanding projects involving large generative models and advanced neural architectures (GANs and Autoencoders)
• NLP systems: Text similarity, classical entity recognition and disambiguation, embedding, topic analysis
• next-level knowledge-based systems: Extract meaning from vast data sets by tackling classical problems with new neural approaches

• Degree in computer science (BSc/MSc) or in a similar field
• Excellent Python programming skills
• Basic data engineering knowledge (SQL and noSQL databases, distributed systems, cloud computing)
• Passionate about all things AI, machine learning and data science
• Self-driven problem solver who enjoys coding as much as tinkering
• Ability to work in multiple projects simultaneously
• Ability to work independently as well as part of a team
• Valid work permit for Austria (must-have)

• Work in a dynamic team, passionate about technology and its ways to improve our lives
• People first company culture, where we nurture your talents
• Great office location in Vienna's 2nd district, close to WeXelerate and Karmelitermarkt
• Continuous trainings and education
• Flexible working hours, part time option available
• Weekly hackdays and regular team events

• Work with large international clients from various industries and sectors
• Provide machine learning expertise and develop concepts, prototypes and productive systems supported by an exceptional team of cloud architects, research scientists, data engineers and machine learning engineers
• Implement proof of concepts and prototypes in Python and its machine learning ecosystem both individually and as part of a highly skilled team
• Apply classical machine learning and cutting-edge research in the fields of predictive analytics, NLP (text analysis, entity recognition, topic modeling) and deep neural networks (time series models,image and video models, autoencoders, generative adversarial networks, deep reinforcement learning)
• Coverage of the entire data science process, including data collection,data management and operations

• Degree in computer science (MSc or PhD) or in a similar field
• Excellent Python programming skills and profound knowledge of a wide range of machine learning methods
• Basic data engineering skills
• Passionate about all things AI, machine learning and data science
• Self-driven problem solver who enjoys coding as much as tinkering
• Ability to work in multiple projects simultaneously
• Valid work permit for Austria (must-have)

• Enthusiastic team with rich expertise in ML, dataengineering and cloud architecture
• Conference participations, internal research projects, ability to work with the latest technologies, hosting of meetups
• People first company culture, where we nurture your talents
• Great office location in Vienna's 2nd district, close to WeXelerate and Karmelitermarkt
• Continuous trainings and education
• Flexible working hours
• Weekly hackdays and regular team events