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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Jobs or company...

AI/ML Engineer

Salary undisclosed
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Original
Simplified
Job Requirements
  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
  • 2+ years of experience in AI/ML development or a related field.
  • Previous experience with AI model deployment and production environments is a plus.
  • Strong proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Solid understanding of deep learning, neural networks, NLP, and computer vision.
  • Knowledge of big data technologies (Spark, Hadoop) and data processing techniques.
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud) for AI/ML model deployment.
  • Experience in software development and MLOps practices for model deployment and automation.
  • Strong problem-solving and analytical thinking abilities.
  • Excellent communication skills to explain AI models and insights to non-technical stakeholders.

Job Descriptions
  • Design, develop, and implement machine learning models and AI algorithms.
  • Preprocess and analyze large datasets to improve model accuracy and efficiency.
  • Optimize ML models for performance, scalability, and deployment.
  • Collaborate with data scientists to improve AI models using statistical and deep learning techniques.
  • Deploy machine learning models into production using cloud-based or on-premise environments.
  • Research and experiment with new AI/ML techniques to improve model performance.
  • Work closely with software engineers to integrate AI solutions into applications.
  • Maintain and monitor AI systems to ensure accuracy and reliability.
  • Stay updated with the latest trends and advancements in AI/ML technology.
Job Requirements
  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
  • 2+ years of experience in AI/ML development or a related field.
  • Previous experience with AI model deployment and production environments is a plus.
  • Strong proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Solid understanding of deep learning, neural networks, NLP, and computer vision.
  • Knowledge of big data technologies (Spark, Hadoop) and data processing techniques.
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud) for AI/ML model deployment.
  • Experience in software development and MLOps practices for model deployment and automation.
  • Strong problem-solving and analytical thinking abilities.
  • Excellent communication skills to explain AI models and insights to non-technical stakeholders.

Job Descriptions
  • Design, develop, and implement machine learning models and AI algorithms.
  • Preprocess and analyze large datasets to improve model accuracy and efficiency.
  • Optimize ML models for performance, scalability, and deployment.
  • Collaborate with data scientists to improve AI models using statistical and deep learning techniques.
  • Deploy machine learning models into production using cloud-based or on-premise environments.
  • Research and experiment with new AI/ML techniques to improve model performance.
  • Work closely with software engineers to integrate AI solutions into applications.
  • Maintain and monitor AI systems to ensure accuracy and reliability.
  • Stay updated with the latest trends and advancements in AI/ML technology.