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JH- Computer vision (Deep learning) 【MNC Company | remote】

Simpan
Lowongan diperbarui lebih dari 1 tahun yang lalu

Deskripsi Pekerjaan

US company providing embedded device with DepthAI/ML/computer vision technology.

Responsibilities

  • Collaborate with clients and work on state-of-the-art neural networks, their optimization, and deployment on edge devices
  • Work on various projects, including lightweight models for assistance in autonomous navigation, neural assisted depth estimation, or even simple object detection
  • Help manage tools that aim to bring Spatial AI to everyone
  • Investigate different approaches of fusing depth information to improve specific tasks
  • Help clients curate data collection for model improvement

Persyaratan

Requirements

  1. 5+ years relevant experience
  2. Python expert with a passion for computer vision
  3. Strong knowledge of ML algorithms
  4. Web technologies (overview understanding)
  5. Multithreading and multiprocessing
  6. Experience with industry-recognized ML frameworks (PyTorch, TF, …) for computer vision and related libraries (Numpy, Pandas, Pillow, OpenCV, ...)
  7. Strong understanding of the math behind ML algorithms
  8. Basic knowledge of computer vision methods
  9. Basic knowledge of Linux and Git

Good to have

  1. Experience in deploying and maintaining machine learning models to edge
  2. Experience with cloud platforms
  3. Knowledge of C++ and ROS
  4. Familiarity with ONNX and OpenVINO
  5. Experience in Unity
Lihat semua pekerjaan
Lihat semua pekerjaan
Simpan
1
Diperlukan pengalaman selama 5 tahun
Penghasilan reguler mencapai NT $ 40.000
100% Kerja Remote
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Tentang Kami

iN Search卓恩管理顧問有限公司,為台灣精品級專業人力招聘顧問公司

專注於科技業、傳產製造業與半導體產業的中高階層的技術及管理職的人力招募,為客戶及求職者提供人才招聘媒合、企業諮詢、人才分析及市場資訊,使客戶與求職者獲得最有效準確之趨勢與資訊,以創造出更優質的專業服務體驗。


Tim

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Director
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Office Manager
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Office Administrator
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Consultant
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Consultant
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Consultant

Pekerjaan

Full-time
Level Pemula
1
28 rb ~ 32 rb TWD / bulan
Simpan

Simpan

Full-time
Level Menengah-Senior
1
Penghasilan reguler mencapai NT $ 40.000
Simpan