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Machine Learning Engineer (m/w/x)
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Machine Learning Eng....
ReQuest GmbH
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Machine Learning Engineer (m/w/x)

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1 Vacancy
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Job Location

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Vienna - Austria

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 1726477

Are you passionate about Machine Learning and Cybersecurity? Ready to join a fast-growing and global provider of intelligent cyber security solutions and patterns? Work together with data scientists to transform the data science prototypes from the research stage to production-ready ML services!

Deine Aufgaben im Team

  • You are responsible for deploying ML models using container technologies on large-scale infrastructure
  • You work on building a set of reusable tools to support the ML research and development process
  • You continuously monitor and maintain the portfolio of operational ML models and components
  • You automate the process of data processing and labelling by creating data pipelines
  • You support the technology adoption and integrate data science solutions into the company's flagship products

Unsere Erwartungen an Dich

  • Completed BSc or MSc studies in engineering (or natural sciences) preferably with a background in computer science
  • Practical experience with Machine Learning, Deep Learning and Data Mining and knowledge of MLOps methodologies and deployment tools
  • Ability to write solid codes in Python and a profound knowledge in software development
  • Familiarity with ML frameworks (e.g. TensorFlow, PyTorch) and libraries (e.g. scikit-learn)
  • Experience using container technologies (e.g. Docker Swarm, Kubernetes) and DevOps practices (e.g. test automation, deployment) and CI/CD tools (e.g. GitLab)
  • You are familiar with monitoring tools and with programing languages such as Java, JavaScript, Ruby or GO
  • Fluent in Englisch (spoken & written)

Deine Benefits

  • Pleasant working atmosphere in an international and motivated team
  • Modern office space centrally located in Vienna
  • Flexible working hours and possibility of hybrid work

Employment Type

Full Time

Company Industry

About Company

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