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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ML Application Engineer

Salary undisclosed
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The Machine Learning Application Engineer will use their expertise in AI and Natural Language Processing (NLP) to develop advanced solutions involving Large Language Models (LLMs). Key responsibilities include designing system architectures for AI integration, implementing ML applications for complex business cases, and developing conversational frameworks. The engineer will enhance core AI systems with a focus on performance, stability, and modularity while also improving voice processing capabilities. They will be tasked with refining agentic pipelines, monitoring AI application performance, and fostering innovation through new methodologies and technologies. The role requires a Bachelor's degree in AI, Data Science, or a related field, along with solid experience in LLM frameworks like Langchain and Llamaindex, Python programming, and system architecture design. The ideal candidate will also possess strong communication, problem-solving, and critical thinking skills, and be committed to continuous learning and development. Experience in microservices, multi-agent systems, and designing production-ready LLM applications is preferred.