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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...

Engineer/ Senior Engineer (AI Engineering), Digital Hub

Salary undisclosed

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Linkedn
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We are seeking a talented AI Engineer to join our team at the Digital Hub Programme Centre. In this role, you will work on state-of-the-art AI Engineering initiatives, contributing to the design, development and deployment of AI systems at scale, while adhering to robust governance frameworks.

Key Responsibilities
  • AI Engineering Roadmap Execution: Implement the AI Engineering roadmap through research, experimentation and hands-on development.
  • MLOps & Tooling: Design, build and automate MLOps (CI/CD/CT/CM) pipelines and tools to streamline AI workflows (e.g. support seamless model deployment and lifecycle management). Implement domain-specific ML deployment, monitoring and retraining techniques for the AI community.
  • Infrastructure: Develop and manage scalable infrastructure for AI development, deployment and monitoring.
  • Governance & Compliance: Establish governance processes for AI systems, including release criteria, testing frameworks, retraining pipelines and continuous monitoring, to ensure compliance with safety and quality standards in AI systems.
  • Tertiary qualification in Computer Science, Information Systems, Computer Engineering or a related field
  • Minimum 1 year of experience in MLOps preferred
  • Strong programming skills with good grasp of software development best practices
  • Strong desire to learn and grow within the AI engineering domain
  • Team player with excellent communication skills
  • Self-motivated and driven to deliver high-quality, reliable AI solutions

Required Skills

Machine Learning Development:
  • Experience with developing, deploying and scaling ML models (e.g. object detection)

Software Engineering
  • Proficient in Python programming
  • Proficient in Linux Operating Systems (E.g. Ubuntu, RHEL)
  • Proficient in bash and yaml
  • Proficient with version control (e.g. Git),
  • Proficient with containerisation and orchestration (e.g. Docker/Podman, Kubernetes, OpenShift Container Platform)

Previous Experience Would Be Advantageous
  • MLOps Expertise:
  • Data and model versioning (E.g. DVC, clearml-datasets), model serving (e.g. vLLM, Triton Inference Server) and experiment orchestration (e.g. clearml)
  • Model testing (e.g. directional expectation and invariance testing, robustness testing such as adversarial AI, Brittleness and Explainability)
  • Model monitoring pipelines and retraining workflows (E.g. Drift Detection)
  • Cloud Infrastructure:Experience with hyperconverged infrastructure (HCI), storage (e.g. S3, NFS) and networking
  • DevOps:
  • Familiarity with automation tools (e.g. Argo, Gitlab), monitoring dashboards (e.g. Prometheus/Grafana) and platforms (e.g. Kafka, Redis).
  • RESTful services (e.g. HTTPS, gRPC)
  • Programming:
  • Rust, Go
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