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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...
M

DevOps / MLOps Engineer

  • Full Time, onsite
  • Method360
  • On Site Hybrid4 days a week in office, United States of America
Salary undisclosed

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Dice

Availability Status

This job is expected to be in high demand and may close soon. We’ll remove this job ad once it's closed.

Original
Simplified

Our client seeking a consultant with 5+ years of experience in DevOps / MLOps Engineering to join the Data Science and AI team. The consultant will be creating and maintaining robust, scalable, and efficient CI/CD pipelines for our machine learning models and data processing workflows.

Consultant will collaborate with cross-functional teams to streamline and automate the end-to-end deployment processes, ensuring our AI/ML initiatives are delivered with high quality and speed

  • Develop and Implement CI/CD Pipelines: Design, build, and maintain continuous integration and deployment pipelines for machine learning models and data processing workflows.
  • Automation and Orchestration: Develop and continuously improve automation solutions to enable teams to build and deploy code efficiently and consistently.
  • Promote DevSecOps Principles: Foster a DevSecOps culture across the Analytics & Innovation organization, ensuring security is integrated into the development process.
  • Lifecycle Streamlining: Streamline the data science and development lifecycles by identifying and resolving pain points and productivity barriers.
  • Collaboration: Work closely with data scientists, data engineers, and software developers to integrate and deploy machine learning models into production.
  • Monitoring and Troubleshooting: Implement monitoring and logging solutions to ensure the health and performance of deployed models and systems, and troubleshoot issues as they arise.
  • Security and Compliance: Ensure the security and compliance of data and infrastructure, adhering to industry best practices and regulatory requirements.
  • Documentation: Maintain comprehensive documentation of systems,
  • Education: Bachelor s Degree in Computer Science, Engineering, or a related field.
  • Experience: 5+ years of experience in DevOps, MLOps, or a related field.
  • Azure DevOps and AzureML experience

Technical Expertise:

  • Proficiency in cloud platforms (AWS, Azure, Google Cloud Platform) and containerization technologies (Docker, Kubernetes).
  • Strong programming skills in Python, Bash, PowerShell or other scripting languages.
  • Experience with infrastructure as code (Terraform, ARM).

Tool Proficiency:

  • Familiarity with CI/CD tools (Jenkins, GitHub Actions, ADO Pipelines).
  • Knowledge of machine learning frameworks (TensorFlow, PyTorch) and data processing tools (Apache Spark, Airflow).

Nice to have:

  • Advanced Analytics Tools: Experience with advanced analytics tools and methodologies, including monitoring and logging solutions (Azure Monitor, Prometheus, Grafana).
  • Agile Methodologies: Experience working in Agile development environments.
  • AZ-400 DevOps Engineer Certification is desired.
  • Experience with Data Science and Machine Learning teams is desired.
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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