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 Engineer | 2-Year Contract

$ 6,000 - $ 7,500 / month
Checking job availability...
Original
Simplified
  • Collaborate with data scientists, developers and engineers to transform AI/ML prototypes into scalable solutions via containerisation (e.g. Kubernetes, Docker) or Dataiku
  • Architect end-to-end AI/ML solutions with a focus on LLMs, RAG and agentic workflows
  • Build scalable AI pipelines, APIs and services to integrate AI/ML models with our existing enterprise systems where applicable
  • Train, evaluate, optimise, monitor and maintain deployed AI/ML models and data pipelines to ensure performance, accuracy and reliability
  • Lead the enhancement of AI/MLOps process by leveraging industry best practices
  • Stay up to date with the latest developments in AI/ML and identify areas of opportunities to harness these technologies to improve our business offerings or enhancing performance of AI products

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field
  • At least 3 to 5 years of relevant working experience in AI/ML model development and deployment
  • Strong understanding of AI/MLOps practices and tools
  • Experience with deploying (and troubleshooting) AI solutions using various tools and platforms, including containers via tools such as Redhat Openshift Container Platform and Docker
  • Knowledge of GPU cluster architecture and ability to optimise workloads such as LLM inferencing in both Windows and Linux environments
  • Proficient in Machine Learning frameworks (TensorFlow, PyTorch, Hugging Face Transformers) and Programming Languages (Python, Javascript)
  • Collaborate with data scientists, developers and engineers to transform AI/ML prototypes into scalable solutions via containerisation (e.g. Kubernetes, Docker) or Dataiku
  • Architect end-to-end AI/ML solutions with a focus on LLMs, RAG and agentic workflows
  • Build scalable AI pipelines, APIs and services to integrate AI/ML models with our existing enterprise systems where applicable
  • Train, evaluate, optimise, monitor and maintain deployed AI/ML models and data pipelines to ensure performance, accuracy and reliability
  • Lead the enhancement of AI/MLOps process by leveraging industry best practices
  • Stay up to date with the latest developments in AI/ML and identify areas of opportunities to harness these technologies to improve our business offerings or enhancing performance of AI products

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field
  • At least 3 to 5 years of relevant working experience in AI/ML model development and deployment
  • Strong understanding of AI/MLOps practices and tools
  • Experience with deploying (and troubleshooting) AI solutions using various tools and platforms, including containers via tools such as Redhat Openshift Container Platform and Docker
  • Knowledge of GPU cluster architecture and ability to optimise workloads such as LLM inferencing in both Windows and Linux environments
  • Proficient in Machine Learning frameworks (TensorFlow, PyTorch, Hugging Face Transformers) and Programming Languages (Python, Javascript)