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

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Key Accountabilities: Model Development & Optimization - Design and develop machine learning models adapted to specific business needs. Continuously optimize these models to enhance their performance and accuracy. Deployment - Deploy machine learning models into production environments, ensuring seamless integration and monitoring for sustained effectiveness and efficiency. Experimentation - Conduct experiments to assess and improve model performance. Utilize statistical analysis and validation techniques to validate model predictions and reliability. Research - Keep up-to-date with the latest machine learning research, trends, and technologies. Apply new methodologies to our projects to maintain cutting-edge solutions. Team Collaboration - Work closely with cross-functional teams to integrate ML solutions into broader systems and workflows. Requirements: -Bachelor’s degree in Applied Mathematics, Computer Science, Data Science, Engineering, or a related field with a minimum CGPA of 3.5. -Proficiency in Python 3 and experience with ML libraries such as Pandas, Sklearn, and PyTorch. -Strong problem-solving and mathematical reasoning skills. -Experience in developing ML models for Tabular Analysis, Time Series Analysis, and Fraud Detection would be an advantage. -Excellent communication skills and the ability to work collaboratively.
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