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Machine Learning Engineer

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Parking Network B.V.

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Location:
Hungary , Budapest

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

Adaptive Recognition is a market-leading, innovative Hungarian technology company with global references. As a pioneer in optical character recognition (OCR), we develop, manufacture and deliver artificial intelligence-based license plate recognition and document identification devices, software and complete solutions around the world. We have been working for a safer and smarter world with our solutions for identification of transportation technology and personal documents, as well as spatial monitoring for more than 20 years.

Job Responsibility:

  • Development and maintenance of machine vision-based engineering software
  • Implementation and optimization of image processing algorithms
  • Design of data processing and backend systems
  • Collaboration with research and engineering colleagues

Requirements:

  • Higher education in computer science, electrical engineering or software engineering or mathematics
  • At least 2 years of relevant professional experience in software development
  • Confident programming skills in at least C++
  • Knowledge of version control systems (e.g. Git)
  • Independent problem solving, analytical thinking
  • English language skills

Nice to have:

  • Knowledge of machine learning and image processing frameworks: TensorFlow, PyTorch, OpenCV
  • Database management experience in an SQL environment
  • Experience in using DevOps systems and CI/CD processes
  • Experience in developing real-time or high-performance systems
What we offer:
  • Challenging tasks and technological development opportunities
  • Collaboration with experienced professionals
  • Innovative product development environment
  • Competitive salary package with various benefits
  • International technological background
  • Personal and professional development opportunities
  • Long-term stability and balanced working conditions
  • Strong support in both technical and operational areas
  • Healthy work-life balance
  • Working in a friendly, family atmosphere
  • Young, close-knit team
  • Flexible and supportive management
  • Inspiring colleagues
  • Challenging, interesting, varied and responsible tasks
  • Excellent accessibility
  • Long-term job opportunity
  • Internal company events
  • Bicycle storage and shower
  • Home Office option
  • Beauty card benefit
  • Medicover health insurance benefit

Additional Information:

Job Posted:
March 13, 2026

Expiration:
March 31, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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