Epicareer Might not Working Properly
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Please Turn on your JavaScript

Epicareer might not working properly because your browser javascript is turned off.

What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
How do i turn this on?
Find tutorial for your browser below :
  1. Make sure the webpage is open.
  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
  8. Make sure Allow is chosen in the pop-up menu next to the website.
Visit Site here
  1. Open Chrome on your computer.
  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
  6. Select Sites can use Javascript.
Visit Site here
  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
  2. Tip: If you're running Mac OS, click the Firefox drop-down list > Preferences.
  3. On the Content tab, click the Enable JavaScript check box.
Visit Site here
  1. Click the "Settings and more" icon at the top right of the Edge browser window.
  2. Click Settings.
  3. From the Settings menu, click Cookies and site permissions.
  4. Scroll down and click on JavaScript.
  5. In the JavaScript window, toggle the slider to "on" or "allowed."
  6. Close the Settings tab.
  7. Refresh the page.
Visit Site here
  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
Visit Site here
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Jobs or company...

Visual Algorithm Engineer

  • Full Time, onsite
  • CHINA HARBOUR (SINGAPORE) ENGINEERING COMPANY PTE. LTD.
  • Overseas, Singapore
$ 9,000 - $ 12,000 / month
Checking job availability...
Original
Simplified

Job Responsibilities

  1. Develop and implement deep learning models using Python and frameworks such as Pytorch, TensorFlow, MindSpore, and PaddlePaddle.
  2. Work on computer vision tasks including object detection, key point detection, segmentation, and other related functions.
  3. Deploy models using tools such as Docker, Flask, and other deployment technologies.
  4. Program and develop algorithms in a Linux/Unix environment.
  5. Implement ROS development, laser, and vision algorithms for real-world applications (preferred).
  6. Contribute to large-scale engineering projects and aim for publication in top-tier journals (preferred).
  7. Maintain a self-driven approach to learning and adapting to new advancements in AI and deep learning technologies.
  8. Collaborate with cross-functional teams and effectively communicate project requirements and progress.

Requirements

  1. Proficient in Python and deep learning frameworks, including but not limited to Pytorch, TensorFlow, MindSpore, and PaddlePaddle.
  2. Strong knowledge of computer vision tasks like object detection, key point detection, and segmentation.
  3. Experience in using Docker, Flask, and other tools for deploying machine learning models.
  4. Familiarity with Linux/Unix programming environments.
  5. ROS development experience and expertise in laser and vision algorithm implementation is a plus.
  6. Experience with large-scale engineering projects and a preference for experience publishing in top journals.
  7. Self-motivated with a strong ability to learn new technologies and stay current in AI and deep learning fields.
  8. Excellent communication skills and the ability to work well in a team environment.

Working Location: China, Shanghai

Job Responsibilities

  1. Develop and implement deep learning models using Python and frameworks such as Pytorch, TensorFlow, MindSpore, and PaddlePaddle.
  2. Work on computer vision tasks including object detection, key point detection, segmentation, and other related functions.
  3. Deploy models using tools such as Docker, Flask, and other deployment technologies.
  4. Program and develop algorithms in a Linux/Unix environment.
  5. Implement ROS development, laser, and vision algorithms for real-world applications (preferred).
  6. Contribute to large-scale engineering projects and aim for publication in top-tier journals (preferred).
  7. Maintain a self-driven approach to learning and adapting to new advancements in AI and deep learning technologies.
  8. Collaborate with cross-functional teams and effectively communicate project requirements and progress.

Requirements

  1. Proficient in Python and deep learning frameworks, including but not limited to Pytorch, TensorFlow, MindSpore, and PaddlePaddle.
  2. Strong knowledge of computer vision tasks like object detection, key point detection, and segmentation.
  3. Experience in using Docker, Flask, and other tools for deploying machine learning models.
  4. Familiarity with Linux/Unix programming environments.
  5. ROS development experience and expertise in laser and vision algorithm implementation is a plus.
  6. Experience with large-scale engineering projects and a preference for experience publishing in top journals.
  7. Self-motivated with a strong ability to learn new technologies and stay current in AI and deep learning fields.
  8. Excellent communication skills and the ability to work well in a team environment.

Working Location: China, Shanghai