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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Junior Machine Learning Engineer

RM 2,500 - RM 2,999 / Per Mon

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We are looking for an enthusiastic Machine Learning Engineer to join our team and play a key role in integrating AI technologies into software development processes. This entry-level position is ideal for fresh graduates with hands-on experience gained through university projects, internships, or personal initiatives. You will work on developing and supporting our proprietary AI-assisted SDLC tool, CORRAD AI, aimed at revolutionizing how software is designed and delivered. Key Responsibilities 1. AI-Assisted Framework Development: a. Assist in the development and refinement of CORRAD AI, an AI-driven framework for automating and enhancing Software Development Life Cycle (SDLC) processes. b. Collaborate with senior engineers to implement machine learning models and algorithms that support tasks like requirement gathering, design generation, and test case creation. 2. Model Development & Training: a. Design, train, and optimize machine learning models tailored for SDLC applications. b. Experiment with cutting-edge algorithms and adapt them to the needs of the framework. 3. Tool & Data Preparation: a. Work with tools like Google Colab, Jupyter Notebook, and other machine learning platforms to develop and deploy models. b. Collect, clean, preprocess, and analyze datasets to ensure high-quality input for AI systems. 4. Prototyping & Experimentation: a. Research new AI and ML techniques to propose enhancements for the CORRAD AI framework. b. Build proof-of-concept tools to showcase innovative applications of AI in SDLC. 5. Integration & Deployment: a. Collaborate with software developers to integrate machine learning capabilities into the CORRAD AI platform. b. Assist in testing and deploying machine learning models in production environments. 6. Documentation & Reporting: a. Maintain clear and comprehensive documentation of experiments, models, and development activities. b. Contribute to user manuals and technical documentation for CORRAD AI. Qualifications 1. Education & Experience: a. Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. b. Practical experience in machine learning through academic projects, internships, or personal work. 2. Technical Skills: a. Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, and scikit-learn. b. Experience with tools like Google Colab, Jupyter Notebook, and Pandas for data manipulation and experimentation. c. Basic understanding of SDLC processes and the role of AI in software engineering. d. Knowledge of databases such as SQL and NoSQL (e.g., MongoDB) is an advantage. 3. Soft Skills: a. Strong problem-solving and analytical thinking abilities. b. Excellent communication and teamwork skills. c. A proactive mindset with a passion for learning and innovation.
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