Innovative solutions at the cutting edge, a dynamic and progressive working environment, versatile opportunities - this is the world of SKIDATA. Become part of our strong, international team now and shape the future of modern access systems with your ideas and know-how.
training and development
flexible working hours
world-wide careers
Global market leader in access solutions is looking for a passionate
Senior Software Developer - Machine Learning
YOUR TASKS
You are part of a small, fine, agile concept engineering team that develops creative and novel ideas. In your role, you will be responsible for Artificial Intelligence implementations in our SKIDATA solutions. In doing so, you will work closely with hardware and software. You will lead the creation of new ideas through to the realization of initial prototypes and pilots in the field. You will support the existing team in developing your applications with the goal of revolutionizing SKIDATA's access solutions. Because thinking outside the box every day is what drives our success.
YOUR PROFILE
Degree in computer science or comparable
at least 4 years of experience in software development
very good programming experience in JAVA or C++, Python
expert knowledge in CNN, GAN, tranfer learning, PyTorch, Tensorflow
experience in collecting and managing data
good knowledge with the development of algorithms
Enjoy working out complex technical solutions
Passion for software and systems development and technology in general
good communication skills and enjoy working in a team
very good knowledge of English, both written and spoken
YOUR FUTURE
versatile and broad range of tasks
work on a new development
state-of-the-art software tools
agile development environment
Freedom that motivates
International team of specialists
traction of a market leader
very good opportunities for further training
worldwide perspectives
Your Place of work
Groedig/Salzburg (HQ)
The minimum salary corresponds to the classification according to the general trade collective agreement (employment group 4, professional year according to individual experience).