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Deep Learning Data Engineer
看过: 130
更新日: 16-11-2025
行业: IT Services IT Consulting Appliances Electrical Electronics Manufacturing Industrial Machinery Manufacturing
水平: Entry level
工作类型: Full-time
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工作内容
Be visionaryAt Teledyne FLIR, we have a simple but ambitious mission: to develop market-leading thermal and sensing technologies which enhance everyday life. From saving energy, to saving lives Teledyne FLIR is making a real difference in our world.
Our products are used in a wide array of situations to rescue people in danger, detect criminals, conserve energy, navigate safely, provide security around the globe, and protect our environment.
We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins.
Job Summary
Job Description
The most important factor of developing a successful AI algorithm is the data. Ensuring the data is well representative – well balanced and qualitative good is very crucial. As Data Engineer you will be responsible to organize and manage the data that is needed to learn AI models that will be used in different businesses, such as Intelligent Transportation Systems (ITS) and security applications.
Primary Duties & Responsibilities
- Ensure the dataset is well balanced and define what data is missing to improve the models
- Follow up test and customers-sites and collecting the required data as much as possible
- Apply and create data augmentation to enlarge the datasets
- Better organize the data in a data management system to better find back data if needed
- Organize field recordings to collecting missing data
- Follow up the data selection and annotation processes
- Bachelor or Master degrees in Computer Science, Applied Mathematics, Computer Engineering or Electrical Engineering
- Experiences in the field of computer vision and image processing is plus
- Experience with programming in python, C or C++ is a plus
- Must be a results-oriented professional with solid organizational and time management skills
Teledyne FLIR is an equal opportunity employer.
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最后期限: 31-12-2025
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