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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...

ML OPS Engineer

Salary undisclosed

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Dice
Original
Simplified

Role: ML OPS Engineer

Location: Orlando, FL (Onsite)

Duration: 6+ months

Experience Required:

  • Overall 10 years out of 5-8 years relevant experience in MLOps.
  • Deep quantitative/programming background with a degree (Bachelor's) in a highly analytical discipline, like Statistics, Economics, Computer Science, Mathematics, Operations Research, etc

Responsibilities:

  • Design and implement cloud solutions, build MLOps on Azure cloud
  • Build CI/CD pipelines orchestration by Azure devops or similar tools
  • Data science model review, code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
  • Data science models testing, validation and tests automation
  • Communicate with a team of data scientists, data engineers and architect, document the processes

Requirements:

  • Overall 10 years out of 5-8 years of experience in managing machine learning projects end-to-end, with the last 18 months focused on MLOps
  • Monitoring Build & Production systems using automated monitoring and alarm tools
  • Knowledge of machine learning frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn
  • Knowledge on building pipelines using synapse, databricks end to end.
  • Experience in API integration and data feeds with social analytics(Facebook, Instagram, Twitter).
  • Experience with MLOps tools such as ModelDB, Kubeflow, Pachyderm, and Data Version Control (DVC)
  • Experience in supporting model builds and model deployment for IDE-based models and autoML tools, experiment tracking, model management, version tracking & model training (Dataiku, Datarobot, Kubeflow, MLflow, neptune.ai) will be an addon, model hyperparameter optimization, model evaluation, and explainability (SHAP, Tensorboard)
  • Experience in Databricks, Azure DataLake Gen2 and Unity Catalog
  • Ability to understand tools used by data scientist and experience with software development and test automation
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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