ML Engineer - Computer Vision
Entefy
WorldwideFully remoteFull TimeEntry Level, Mid LevelInformation Technology
Posted 3 months ago3mo agoApply link checked 1 hour ago
Why we think you can apply
- Hiring model
- Open worldwide · the employer states no country restriction
- Work from
- Anywhere, the UAE included
Posted 3 months ago · apply link checked 1 hour ago
About the role
Responsibilities
- Utilize the latest techniques in artificial intelligence and computer vision to work on confidential projects
- Apply deep understanding of algorithms to build novel machine intelligence
- Impact Entefy's suite of products through advanced computer vision research and implementation
Requirements
- Solid fundamentals in mathematics, statistics, and machine learning theory
- Minimum 3 years of commercial experience in computer vision
- Proficiency in Python, C, C++, or Java
- Experience with image classification, segmentation, or captioning
- Proficiency in image/video processing tools such as OpenCV, FFmpeg, or PIL/Pillow
- Proficiency in machine learning tools such as TensorFlow, Keras, or PyTorch
Preferred Qualifications
- Advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics
- Experience with deep learning techniques including convolutional networks and attentional models
- Experience with parallel computing technologies like CUDA or OpenMP
- Experience with big data and distributed computing such as Spark or Hadoop
- Proficiency in multiple programming languages
About the Company
Entefy is building first-of-its-kind AI communication technology to simplify how people interact digitally.
What we look for
- Mathematics and statistics fundamentals
- 3+ years commercial computer vision experience
- Proficiency in Python, C, C++, or Java
- Experience with image classification and segmentation
- Proficiency in OpenCV or FFmpeg
- Proficiency in TensorFlow or Keras
PythonTensorFlowComputer Vision
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Entefy
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NeverApply scores every new listing against your CV, salary floor and visa. A handful of real matches by morning.
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