Here are some must-have skills for a computer vision engineer.
Hard skills
- Proficiency in programming languagesincluding Python Pyspark focusing on algorithms applied explicitly in computer vision projects
- Knowledge of machine learning and deep learning frameworks including TensorFlow Keras or PyTorch
- Knowledge ofneural networks– especially convolutional neural networks (CNNs)
- Understanding of image processing techniques– including filtering edge detection and image segmentation– for manipulating images
- Familiarity with computer vision libraries like OpenCV or Dlib for developing and implementing vision-based models
- Cloud Technologies: Azure Databricks Azure Tech stack
Soft skills
- Problem-solving abilitiesfor determining innovative solutions to the complex problems common to computer vision engineering – such as dealing with low-light conditions or addressing issues with object detection classification (not limited to these)
- Attention to detailfor ensuring precision in coding and model training – and enhancing the accuracy and reliability of computer vision applications
- Collaborative skillsfor working effectively with data scientists software developers and project managers
- Adaptability including a willingness to stay updated with the rapidly evolving field of computer vision and learn new techniques and technologies as they emerge
- Communication skillsfor explaining technical project requirements progress and outcomes to non-technical stakeholders
Required Skills:
Python Pyspark Tensorflow pytorch Computer Vision
Here are some must-have skills for a computer vision engineer. Hard skills Proficiency in programming languagesincluding Python Pyspark focusing on algorithms applied explicitly in computer vision projects Knowledge of machine learning and deep learning frameworks including TensorFlow Keras or PyTor...
Here are some must-have skills for a computer vision engineer.
Hard skills
- Proficiency in programming languagesincluding Python Pyspark focusing on algorithms applied explicitly in computer vision projects
- Knowledge of machine learning and deep learning frameworks including TensorFlow Keras or PyTorch
- Knowledge ofneural networks– especially convolutional neural networks (CNNs)
- Understanding of image processing techniques– including filtering edge detection and image segmentation– for manipulating images
- Familiarity with computer vision libraries like OpenCV or Dlib for developing and implementing vision-based models
- Cloud Technologies: Azure Databricks Azure Tech stack
Soft skills
- Problem-solving abilitiesfor determining innovative solutions to the complex problems common to computer vision engineering – such as dealing with low-light conditions or addressing issues with object detection classification (not limited to these)
- Attention to detailfor ensuring precision in coding and model training – and enhancing the accuracy and reliability of computer vision applications
- Collaborative skillsfor working effectively with data scientists software developers and project managers
- Adaptability including a willingness to stay updated with the rapidly evolving field of computer vision and learn new techniques and technologies as they emerge
- Communication skillsfor explaining technical project requirements progress and outcomes to non-technical stakeholders
Required Skills:
Python Pyspark Tensorflow pytorch Computer Vision
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