Career
Open Positions at enliteAI
Interested in a career in Artificial Intelligence? We would love to hear from you!
Junior Software Engineer
Develop your software craftsmanship on a range of demanding projects as a key member of our team
Job description
Work on challenging AI problems together with machine learning experts.
Who we are looking for
- Degree in computer science (BSc/MSc) or equivalent work experience (e.g. HTL)
- Profound Know-how in one or more programming languages: Python, Java, C/C++, modern JavaScript, C#
- References of activity in (smaller) software development projects, e.g. open source contributions, freelance work or personal interests
- Keen interest in AI, machine learning and data science
- Self-driven problem solver who enjoys coding as much as tinkering
- Ability to work independently as well as part of a team
- Valid work permit for Austria (must-have)
What we offer
- 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
Job types
Full & part time
Compensation
€ 35.000 - € 40.000 annually (full-time)
Apply nowMachine Learning Engineer
Apply cutting edge research in artificial intelligence and machine learning to real-world problems
Job description
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
Who we are looking for
- 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)
What we offer
- 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 1st district
- Continuous trainings and education
- Flexible working hours, part time option available
- Weekly hackdays and regular team events
Job types
Full & part-time
Compensation
€ 45.000 - € 65.000 annually (full-time)
Apply nowData Scientist / Machine Learning Project Lead
Apply cutting edge AI methods to industry problems at scale
Job description
- 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
Who we are looking for
- 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)
What we offer
- 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
Job types
Full-time
Compensation
> € 55.000 annually
Apply nowSoftware Engineer - Python
Design, build and deploy backend systems - putting our machine learning models to use
Job description
Design, build and deploy a broad range of systems from prototypes to large scale production. Work on challenging AI problems together with machine learning experts.
Who we are looking for
- Degree in computer science (BSc/MSc) or equivalent work experience (e.g. HTL)
- 2 years of work experience, ideally in data-driven environments.
- Familiar with scientific Python libraries (Pandas, Numpy), MongoDB, Flask and ER-mapping (e.g. SQLalchemy)
- Hands-on programming skills in at least two programming languages, from high level architecture to low level optimization - ability to learn and apply new technologies quickly
- Basic knowledge of cloud computing, data analysis and NoSQL databases.
- Self-driven problem solver who enjoys coding as much as tinkering
- Ability to work independently as well as part of a team
- Valid work permit for Austria (must-have)
What we offer
- 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 1st district
- Continuous trainings and education
- Flexible working hours, part time option available
Job types
Full & part-time
Compensation
€ 40.000 - € 60.000 annually (full-time)
Apply nowResearch Engineer
Apply cutting edge research in artificial intelligence and machine learning to real-world problems
Job description
- Translate industry problems to machine learning systems
- Build proof of concepts, develop prototypes in Python and Tensorflow
- Work in the field of NLP (text similarity, classical entity recognition and disambiguation, embedding, topic analysis) and deep neural networks
Who we are looking for
- Degree in computer science (BSc/MSc) or in a similar field
- Excellent Python programming 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
- Ability to work independently as well as part of a team
- Valid work permit for Austria (must-have)
What we offer
- 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
Job types
Full & part time
Compensation
€ 45.000 - € 65.000 annually (full-time)
Apply nowOur Technology Stack
Deep Learning
Modern deep learning frameworks drastically reduce the engineering effort necessary to train and execute neural network models at scale. We work with a variety of technologies: TensorFlow, Theano, Pytorch and Dynet.
Machine Learning
Python provides a sea of useful tools and libraries. We take advantage of the Python ecosystem in most of our machine learning and data science related work.
Backend
NodeJS is the technology of choice for web application backend systems.
Crawling System
The core of our large-scale crawling system is written in Java, which strikes a good balance between development effectiveness and performance.
Database
We store and process petabytes of data. The distributed database system Apache Cassandra helps us to ensure linear scalability.
Infrastructure
Most of our infrastructure is powered by the Google Cloud Platform and container technology.
