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
Any Question? Contact us
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Jobs or company...

Senior MLOps Engineer

Salary undisclosed

Apply on

Indeed MY

Availability Status

This job is expected to be in high demand and may close soon. We’ll remove this job ad once it's closed.

Original
Simplified

About Our Client

Our client is at the forefront of digitalizing Malaysian Banking, they are a well-established local bank that has been leading the industry for over 60 years.

Job Description

  • Productionalise analytical pipeline and data science pipeline.
  • Own and monitor objective key results (OKRs) related to hyper-personalization efforts, such as time-to-production and MVP deliverables per quarter.
  • Collaborate with cross-functional teams to align hyper-personalization initiatives with overall business objectives and marketing strategies.
  • Stay updated on industry trends, emerging technologies, and best practices in hyper-personalization to ensure the organization remains at the forefront of innovation.
  • Assist the Business Analytics and Data Science squad in transitioning their use cases to production, including liaising with the BAU team and transferring pertinent knowledge to facilitate seamless integration.
  • Advocate for self-service analytics capabilities by encouraging the utilization of advanced data visualization tools and establishing a comprehensive knowledge repository for reusable data assets.

The Successful Applicant

  • Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.
  • More than 5 years of experience in data engineering or data science roles, preferably within the banking or financial industry.
  • Strong background in AI/ML model development, feature engineering, and model deployment, with a track record of implementing machine learning solutions in real-world scenarios.
  • Proficiency in cloud technologies, such as AWS, Azure, or GCP, with hands-on experience in building cloud-based data solutions and leveraging real-time analytics capabilities.
  • Expertise in data engineering concepts, including data pipelines, ETL processes, and data integration frameworks.
  • Familiarity with advanced data visualization tools like OAS, Power BI or similar platforms.
  • Solid understanding of data governance, data quality, and data security principles.
  • Programming skills in languages like Python, SQL, or Java, with experience in working with large datasets and distributed computing frameworks (e.g., Spark).

What's on Offer

A flexible working arrangement with a purpose-driven team environment to learn.
A well-remunerated position with strong growth potential.
Be a part of a pioneer team with new and exciting technologies.

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