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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Machine Learning Engineer

Salary undisclosed
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Machine Learning Engineer - W2 role

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Minimum of 5-7 years of experience in ML Ops, DevOps, or related roles
  • Strong knowledge of AWS services and tools related to ML Ops, such as SageMaker, Step Functions, Lambda, and CloudFormation
  • Hands-on experience building and deploying ML models in production using AWS
  • Proficiency in Python and/or other programming languages commonly used in ML, such as R, Java, or Scala
  • Familiarity with containerization technologies such as Docker and Kubernetes
  • Excellent problem-solving skills and attention to detail
  • Ability to work independently as well as in a team environment
  • Strong communication skills and ability to explain technical concepts to non-technical stakeholders

Machine Learning Engineer - W2 role

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Minimum of 5-7 years of experience in ML Ops, DevOps, or related roles
  • Strong knowledge of AWS services and tools related to ML Ops, such as SageMaker, Step Functions, Lambda, and CloudFormation
  • Hands-on experience building and deploying ML models in production using AWS
  • Proficiency in Python and/or other programming languages commonly used in ML, such as R, Java, or Scala
  • Familiarity with containerization technologies such as Docker and Kubernetes
  • Excellent problem-solving skills and attention to detail
  • Ability to work independently as well as in a team environment
  • Strong communication skills and ability to explain technical concepts to non-technical stakeholders