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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Responsibilities:

  • Requirement Analysis, Identification of timelines and deliverables
  • Technical Documentation and Reporting
  • Technical decision-making along with the team specialists
  • People management and performance evaluation for members
  • Verification of task completion and release management
  • Research new approach, solutions, and architecture that can contribute to the project’s improvement and evolution

Qualifications:

  • Experience in working in or leading a data engineering project using python-based tools
  • Python and Popular Libraries (Pandas, Numpy, Multiprocessing etc.)
  • Data Visualization Tools (Dash, Seaborne, Web frameworks)
  • Database Tools (MongoDB, MySql, etc.)
  • Hands-on experience working in data warehousing, data architecture and/or data engineering environments at an enterprise scale.
  • ETL design, implementation and maintenance
  • Experience implementing and working with workflow schedulers like Airflow, Azkaban, Oozie etc.
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