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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...

Machine Learning Engineer

Salary undisclosed

Apply on

Linkedn
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Responsibilities:

  • Conduct reviews for compliance of ML models with platform governance principles such as versioning, data/model lineage, and code best practices, providing feedback to data scientists for improvements.
  • Develop pipelines for continuous operation, feedback, and monitoring of ML models by leveraging CI/CD best practices within the MLOps domain, including monitoring data drift, triggering model retraining, and setting up rollbacks.
  • Optimize AI development environments (development, testing, production) for usability, reliability, and performance.
  • Collaborate with infrastructure and application development teams to integrate ML models into enterprise applications (e.g., transforming models into APIs).
  • Work closely with data engineers to ensure that data storage (data warehouses/lakes) and data pipelines feeding ML feature stores are functioning as intended.
  • Evaluate open-source and AI/ML platforms and tools for feasibility and integration from an infrastructure perspective, while staying updated with the latest developments, patches, and upgrades used by data science teams.

Requirements:

  • Proficiency in Python for ML and automation tasks.
  • Strong knowledge of Bash and Unix/Linux command-line toolkit.
  • Hands-on experience building CI/CD pipelines with tools like Jenkins, GitLab CI, GitHub Actions, or similar.
  • Experience with OpenShift/Kubernetes.
  • Good understanding of ML libraries such as Pandas, NumPy, H2O, or TensorFlow.
  • Knowledge of MLOps frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, Dataiku, H2O, or DKube).
  • Familiarity with Distributed Data Processing frameworks like Spark or Dask.
  • Experience with Workflow Orchestrators such as Airflow or Ctrl-M.
  • Knowledge of Logging and Monitoring tools like Splunk and Geneos.
  • Experience in defining processes, standards, frameworks, prototypes, and toolsets for AI and ML development, monitoring, testing, and operationalization.
  • Expertise in ML operationalization and orchestration tools, techniques, and platforms for scaling delivery of models and managing AI platforms.
  • Knowledge of cloud platforms (AWS, GCP) is advantageous.

To apply, simply click the "Apply" button or send your updated profile to [email protected]

EA License No.:18S9405 / EA Reg. No.: R22105741

Percept Solutions is expanding and actively seeking talented individuals. We encourage applicants to follow Percept Solutions on LinkedIn at https://www.linkedin.com/company/percept-solutions/ to stay informed about new opportunities and events.

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