Freital

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SmartNanotubes Technologies is a start-up company founded in 2020. We, currently a team of 12 with diverse interdisciplinary backgrounds, are located in Freital near Dresden. We have developed a novel, highly sensitive gas sensor platform, based on the principle of an electronic nose, with huge potential for a wide spectrum of applications.

We are currently growing our team to strengthen our software development.  In this context, we are looking for a

Software Engineer in Machine learning and Database (f/m/d)

Your responsibilities:

  • Continued development of our ML-based smell annotation software
  • You will use your coding experience to write clean, scalable, and maintainable code
  • You will be involved in supporting and developing different Databases
  • You will take part to manage cloud infrastructure and assets for Machine Learning and databases
  • You will build, test, and monitor your models through best practices on Model Development and MLOps
  • You will support Hardware Development Team via Integrating APIs into a software system

Your qualifications:

  • Bachelor or master’s degree in computer science or equivalent qualification, preferably 2 years of industry experience
  • Confident use of relational and non-relational databases (PostgreSQL, MySQL or MongoDb)
  • Experienced in building ML Systems using tools like Python, Tensorflow/ Pytorch, Spark, MLFlow and AWS
  • Knowledge in Big Data Environment
  • Being able to configure, run, tune, and troubleshoot services on AWS
  • Good knowledge of software development and best practices in a development team (deployment, testing, CI / CD, code reviews)
  • The high degree of self-organization
  • Open-minded and a constant willingness to learn new things
  • Good communication skills in German and English

We offer:

  • Perspective on developing within a team of software engineers and hardware developers
  • Flexible working hours and possibility for home office
  • A working environment in a highly motivated, highly skilled interdisciplinary team
  • Competitive salary
  • Additional benefits: pension scheme, job ticket, supplementary health insurance

You are qualified and interested?

Please send us your application including 2 references (or reference contacts), information on your earliest starting date, and salary expectations. You can submit it via the Online-Form at www.tudag.de or E-Mail to bewerbungen@tudag.de.


In case of questions don’t hesitate to contact us: Lydia Körner-Rothe, +49 351 40 470 228.

Software, Hardware, Engineer, Bachelor, Master, Software-Entwicklung, Software-Architekt, Softwareentwickler, Computer Sciense, Informatik, ITsax.de, Empfehlungsbund