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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.
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  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.
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  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.
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  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).
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Jobs or company...
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Senior Machine Learning Engineer, Fulfilment

  • Full Time, onsite
  • Data Science, Data Analytics, Engineering, Risk Management
  • Petaling, Malaysia
Salary undisclosed

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Get to Know the Team

The Fulfillment tech family is one of the pillars ensuring Grab to out-serve our customers and partners in different businesses and marketplaces across Southeast Asia. We are working on high throughput, real-time distributed systems that use machine learning techniques to solve hundreds of millions of requests per day. We are a distributed team in 4 locations: Singapore, Beijing, Indonesia, and Malaysia in a hybrid work setting.

Our mission is to offer the best products and experiences to our driver partners as to increase adoption and engagement of our services. Improve driver partner opportunities and efficiency to fulfill customer orders without fail, rain or shine. And to create efficient marketplaces by determining a price that is both sustainable and loved by our partners and customers.

Get to know the Role

The Senior Machine Learning Engineer position is a very rewarding role where every code that you string, every model you build, push out and implement instantly impacts millions of people across Southeast Asia. Reporting to our Lead Machine Learning Engineer, you will bring experiences in big data processing, data analytics, and machine learning to work on our massive production scale, and also experience an elegant products running on world-class technologies that bring our unique On-Demand Transport and Delivery experience to millions of people, anytime and anywhere.

The Critical Tasks You will Perform:

  • You will understand business problems and convert them to ML problem space. Work with the business teams to understand workflows and requirements, and analyze data to identify patterns, trends, and anomalies that can inform automation projects and provide insights to stakeholders.
  • You will collaborate with the Data Science and Software Engineering teams to identify areas of automation and optimization within our systems, with a focus on operational efficiency and reducing manual interventions.
  • You will design, develop, and implement automation solutions that improve the efficiency of different processes, using your expertise in data analysis, machine learning, and engineering knowledge.
  • You will lead automation projects aimed at complex system fine-tuning with real market change, applying data-driven techniques to bring growth in the automated system.
  • You will use machine learning techniques to improve automation resilience and improve system performance.
  • You will work with stakeholders to define project goals and deliverables, ensuring that the automation projects align with the goals.
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