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...

Data Scientist

Salary undisclosed
Checking job availability...
Original
Simplified

Data Scientist - KL, Malaysia

A Data Scientist is sought to develop and deploy scalable, data-driven solutions that drive business insights and machine learning applications. This role focuses on leveraging statistical and machine learning algorithms to extract meaningful patterns from complex datasets, collaborating with engineers and analysts to build production-ready AI models.

Key Responsibilities:

  • Develop and optimize scalable machine learning models, integrating them into business processes.
  • Conduct data analysis and feature engineering to support predictive modeling and decision-making.
  • Collaborate with engineering teams to implement data science solutions in production environments.
  • Design and evaluate experiments, A/B testing strategies, and model validation techniques.
  • Stay updated on advancements in AI, machine learning, and big data technologies.

Skills and Experience:

  • 5+ years of hands-on experience in building and deploying machine learning solutions.
  • Strong background in statistical modeling, NLP, kNN models, and advanced ML techniques.
  • Proficiency in Python, Java, C, C++, and SQL, with experience in software engineering best practices.
  • Expertise in ML system design, including experience with frameworks like TensorFlow, PyTorch, or Scikit-Learn.
  • Familiarity with Big Data frameworks (Hadoop, Spark) and cloud-based AI deployments (AWS, GCP, Azure).
  • Strong communication skills with the ability to translate complex data insights into actionable strategies.

About the Company:

This opportunity is with a global technology services provider offering next-generation business solutions to enhance digital transformation journeys. With a presence across multiple countries and a team of over 500 professionals, they specialize in cloud services, data analytics, ERP/CRM integration, and more. Their focus is on delivering customized solutions that drive efficiency and innovation for their clients.

Data Scientist - KL, Malaysia

A Data Scientist is sought to develop and deploy scalable, data-driven solutions that drive business insights and machine learning applications. This role focuses on leveraging statistical and machine learning algorithms to extract meaningful patterns from complex datasets, collaborating with engineers and analysts to build production-ready AI models.

Key Responsibilities:

  • Develop and optimize scalable machine learning models, integrating them into business processes.
  • Conduct data analysis and feature engineering to support predictive modeling and decision-making.
  • Collaborate with engineering teams to implement data science solutions in production environments.
  • Design and evaluate experiments, A/B testing strategies, and model validation techniques.
  • Stay updated on advancements in AI, machine learning, and big data technologies.

Skills and Experience:

  • 5+ years of hands-on experience in building and deploying machine learning solutions.
  • Strong background in statistical modeling, NLP, kNN models, and advanced ML techniques.
  • Proficiency in Python, Java, C, C++, and SQL, with experience in software engineering best practices.
  • Expertise in ML system design, including experience with frameworks like TensorFlow, PyTorch, or Scikit-Learn.
  • Familiarity with Big Data frameworks (Hadoop, Spark) and cloud-based AI deployments (AWS, GCP, Azure).
  • Strong communication skills with the ability to translate complex data insights into actionable strategies.

About the Company:

This opportunity is with a global technology services provider offering next-generation business solutions to enhance digital transformation journeys. With a presence across multiple countries and a team of over 500 professionals, they specialize in cloud services, data analytics, ERP/CRM integration, and more. Their focus is on delivering customized solutions that drive efficiency and innovation for their clients.