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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...

Data Science Quality Engineer

Salary undisclosed
Checking job availability...
Original
Simplified

Position: Data Science Quality Engineer Location: Dallas, TX - (Onsite from Day 1 - Need Only Local) Duration: Long Term Contract Interview Mode: One Teams call, One Face to Face interview

Job Requirements - Must Have Skills:
Experience with Building different Data Science Projects and its Testing activities.
Experience with Training and Testing supervised and unsupervised Machine Learning Models.
Experience with different kinds of metrics for evaluating Data Science model and its accuracies.
Experience with Python on building Automation framework. Extensive experience with Python scripting with respective to Data processing, Data mining and Data cleansing.
Extensive experience with Python scripting with respective Data Science and Machine Learning activities.
Experience in Data Science platforms like SageMaker/Machine Learning Studio/ H2O.
Experience in building Gen AI projects with different kinds of LLMs.
Extensive experience with AWS components like S3, Athena, EMR, Glue, Redshift, Kinesis and Sage maker
Experience in Automating ETL process with Python and Automation around AWS Data & Infrastructure
Extensive Experience with SQL/Unix/Linux scripting is a must
Extensive experience on Developing/testing Cloud/On Prem ETL (AWS Glue, Alteryx)
Experienced in large-scale application development testing Cloud/ On Prem Data warehouse, Data Lake, Data Science
Experience in building Data flow CI/CD pipelines in GitLab
Extensive experience in DevOps/Data Ops space.
Strong experience of Kafka.

Soft Skills:
Great communication skills (regularly interacts with cross functional team members)
Who takes Ownership to complete the tasks on time with less supervision
Guiding developers and automation teams in case of an issue
Monitoring, reviewing, and managing technical operations
Effective problem-solving expertise, troubleshooting, code debugging, and root cause analysis skills.


Thanks & Regards
Mahesh

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.
Report this job

Position: Data Science Quality Engineer Location: Dallas, TX - (Onsite from Day 1 - Need Only Local) Duration: Long Term Contract Interview Mode: One Teams call, One Face to Face interview

Job Requirements - Must Have Skills:
Experience with Building different Data Science Projects and its Testing activities.
Experience with Training and Testing supervised and unsupervised Machine Learning Models.
Experience with different kinds of metrics for evaluating Data Science model and its accuracies.
Experience with Python on building Automation framework. Extensive experience with Python scripting with respective to Data processing, Data mining and Data cleansing.
Extensive experience with Python scripting with respective Data Science and Machine Learning activities.
Experience in Data Science platforms like SageMaker/Machine Learning Studio/ H2O.
Experience in building Gen AI projects with different kinds of LLMs.
Extensive experience with AWS components like S3, Athena, EMR, Glue, Redshift, Kinesis and Sage maker
Experience in Automating ETL process with Python and Automation around AWS Data & Infrastructure
Extensive Experience with SQL/Unix/Linux scripting is a must
Extensive experience on Developing/testing Cloud/On Prem ETL (AWS Glue, Alteryx)
Experienced in large-scale application development testing Cloud/ On Prem Data warehouse, Data Lake, Data Science
Experience in building Data flow CI/CD pipelines in GitLab
Extensive experience in DevOps/Data Ops space.
Strong experience of Kafka.

Soft Skills:
Great communication skills (regularly interacts with cross functional team members)
Who takes Ownership to complete the tasks on time with less supervision
Guiding developers and automation teams in case of an issue
Monitoring, reviewing, and managing technical operations
Effective problem-solving expertise, troubleshooting, code debugging, and root cause analysis skills.


Thanks & Regards
Mahesh

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.
Report this job