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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...
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MLOPS Engineer

Salary undisclosed

Apply on

Dice
Original
Simplified

Role: ML OPS Engineer

Remote

Exp: 12+yrs

Required Skills:

Databricks background

Production Support

Databricks support

Development in Databricks

Looking at longterm

Position Summary:

The Senior ML Ops Engineer is responsible for managing and optimizing machine learning operations and Databricks solutions in a dynamic and fast-paced environment. This role involves collaborating with data engineers, analysts, and data scientists to deliver robust and innovative AI solutions that enhance guest experience. The successful candidate will oversee the entire machine learning lifecycle and develop real-time data pipelines on our Databricks Platform on Google Cloud Platform.

Key Responsibilities:

Collaborate with data scientists and engineers to create a robust AI/ML infrastructure and deployment services for machine learning on Databricks.

Develop and maintain MLOps processes that facilitate model development, training, deployment, monitoring, and inference.

Deploy machine learning models into production environments, ensuring scalability and reliability.

Fine-tune machine learning models using various algorithms and techniques.

Supports the operations of the deployed solutions, investigates complex issues and assists with the resolution and implementation of preventive measures.

Configure, manage, and optimize Databricks clusters, ensuring performance, scalability, and efficient resource utilization.

Implement dashboards and reporting tools to track pipeline performance, cluster usage, and overall system health.

Ensure compliance with data security regulations by setting up encryption, access controls, and auditing mechanisms within the Databricks environment.

Requirements for Consideration:

7-10 years of overall IT experience, with 3-5 years in MLOps and Databricks platform development in cloud environments (Google Cloud Platform preferred).

Strong understanding of machine learning algorithms, model evaluation, and optimization techniques.

Experience with best-in-class ML operations to monitor and maintain models in production and ensure top quality, stable predictions with high uptime.

Proven track record of developing and deploying models on Databricks.

Hands-on experience with big data technologies like Spark, BigQuery and Databricks.

Experience with CI/CD processes for deploying ML services and applications using tools like Bitbucket, and Jenkins.

Proficiency in Python programming language along with experience in SQL.

Strong expertise in Databricks resource management, and performance optimization.

Experience working on Databricks administration is a plus.

Willingness to support off-hours production issues and code deployments as necessary, with minimal travel required.

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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