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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...

AI Software Engineer Intern

Salary undisclosed

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Linkedn
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Commitment Period: Jan 2025 onwards (Full-time Internship, min. 6 months)

Job Description

We are looking for passionate and motivated Computer Science students to participate in evaluating and optimizing various existing CNN-based computer vision applications targeting edge devices.

Responsibilities:

  1. Work with ML team to bring up various computer vision applications (Object Detection, Segmentation, Pose Estimation, Face Recognition, Hand Gesture Detection etc.) targeting edge devices using open-source CNN models and datasets.
  2. Perform quantitative and qualitative evaluations of deployed models on edge devices. Iterate and improve models based on performance metrics using Quantization-Aware Training (QAT).
  3. Conduct analytic studies to identify new applications, model and datasets from current State-of-the-Art and competition.
  4. Maintain clear and comprehensive scripts & documentation of the deployed models, dataset preparation processes, and optimization techniques used.

Requirements:

  1. Pursuing degree in Computer Science, Computer Engineering or Electrical Engineering.
  2. Good communication, collaboration and learning skills.
  3. Proficiency in Python and experience with deep learning frameworks – PyTorch, TensorFlow, MXNet, ONNX.
  4. Experience with NumPy, MatPlotLib and other relevant Python packages for ML applications development.
  5. Research projects and contributions on open-source platforms like GitHub, HuggingFace etc. for CNN or Transformer based computer vision applications.
  6. Understanding of Edge AI concepts like PTQ, QAT, Tuning is desired.
  7. Commit at least 6 months full time and preferably 9 months.
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