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Machine Learning Engineer (m/f)

  • Stelleninserat
  • Arbeitgeber Einblicke
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Machine Learning Engineer (m/f)

  • Full time

  • Team: AI and DataScience

  • Hagenberg

Apply now

Big data | Machine Learning | MLOps | Digital Transformation | Self-Driving IT

Passionate about implementing Machine Learning models? Excited about huge performance and monitoring data sets? Eager to join a global leader that enables digital transformation?

Who we are: Dynatrace is a leading software product company founded in Linz, Austria with more than 1,800 employees worldwide.
Our vision: We believe the world needs software to work perfectly.
What we do: Software Intelligence to simplify enterprise cloud complexity and accelerate digital transformation.
How we do it: Application performance management, Cloud infrastructure monitoring, IT Operations powered by AI and Digital customer experience.

Your role in the team

  • Implement new Machine Learning models for prediction, classification and clustering in close collaboration with our Data Scientists
  • Build prototypes using high level programming languages like Python
  • Integrate your machine learning modules into our product in collaboration with our Development teams and Product Managers
  • Deploy and maintain your models in production

Your profile

  • Excellent programming skills in a high level language (e.g. Python, Java or C++)
  • Ideally more than 2 years of experience in implementing and deploying Machine Learning models
  • Experience with machine learning frameworks like Keras, Scikit-Learn, Tensorflow, PyTorch and Data Science environments like Jupyter
  • Statistical and mathematical know-how advantageous
  • Hands-on Teamplayer and proactive (wo)man of action

You will love this job if

  • Machine Learning is your passion and you want to drive your own ideas.
  • you are fascinated by technical challenges and think outside the box.
  • an international environment is attractive to you.

Due to legal reasons we are obliged to disclose the minimum salary for this position, which is EUR 45,000 gross per year based on full-time employment (38.5 h/week). We offer a higher salary in line with qualifications and experience.

Benefits

  • Education & training bonus
  • Free coffee, tea & smoothies
  • Free fruits & cereals
  • Flexible working hours
  • Ergonomic workplaces
  • Regular team events
  • Discount for public transportation
  • Free physical health support
  • Sports activities

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