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Partnerünk a Jooble.

2020.02.11. 13:55:40 - IT programozás, Fejlesztés - Budapest

Deep Learning Data Engineer

Our partner is working on the most innovative systems of modern times, the “eye” of autonomous driving. Their aim is to develop deep learning techniques that sense and understand the vehicle environment, based on single cameras or multi-sensor networks.

On behalf of our client we are looking for creative minds who are passionate to shape the future of autonomous driving and to bring deep learning techniques into their camera products: forward looking cameras, surround view cameras, high resolution 3D flash lidar, and sensor fusion systems.

Main responsibilities:
  • develop tools for data analytics and data mining using Machine Learning methods to identify the relevant data (e.g. provide statistics of the accessible data)
  • implement search architecture for the available metadata, ADAS sensor data (i.e. real life video data)
  • define requirements for label annotation tools, DevOps teams and vehicle test
  • define data structures and architecture
  • integrate solutions to existing systems 

Required skills:
  • good programming skills in Python
  • deep knowledge and interest in different database systems (SQL/NoSQL)
  • good command of English
  • collaborative, open-minded, team player attitude
  • university degree or promotion (technical profile: Computer Science, Electronics, Electrical Engineering or related area)

  • minimum2-3 years of relevant job experience
  • deep knowledge and experience in Data Engineering, Data Management
  • knowledge of Machine Learning frameworks (e.g. Scikit, TensorFlow, Keras)
  • experience with image processing and computer vision technologies
  • experience with distributed compute systems
  • experience with Mongo DB
  • functional development in automotive industry
  • passion for agile development methods

What our partner can offer to you:
  • Participation in exciting, highly innovative projects with a leading automotive supplier
  • Personal career development and challenging role in the field of deep learning
  • A friendly, respectful and collaborative work environment that rewards high performance
  • Competitive compensation and benefits
  • Attractive working conditions including flex time and home office
  • Access to cutting edge infrastructure and technologies