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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...

AWS Sagemaker SME

  • Full Time, onsite
  • Connvertex Technologies Inc.
  • On Site Hybrid, United States of America
Salary undisclosed

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Job Description

Job Description

AWS Sagemaker SME

Location: Farmington, CT (3 Days Hybrid from Day 1)

Try for Local Candidates

Key Responsibilities:

  • Pull and process data from Amazon S3 for analysis and modeling.
  • Utilize Amazon SageMaker to build, train, and deploy machine learning models.
  • Develop and maintain interactive web applications that allow you to create and share documents containing live code, equations, visualizations, and narrative text. for data exploration, preprocessing, and modeling.
  • Collaborate with data engineers and other stakeholders to understand data requirements and ensure data quality.
  • Implement best practices for version control, reproducibility, and documentation of modeling processes.
  • Monitor and optimize model performance, ensuring they meet business objectives.
  • Stay updated on the latest trends and technologies in machine learning and cloud computing.

Qualifications:

  • Bachelor's degree in computer science, Data Science, Engineering, or a related field.
  • Proven experience with Amazon SageMaker and AWS services, particularly S3.
  • Strong proficiency in Python, including libraries such as Pandas, NumPy, and Scikit-learn.
  • Experience with Jupyter Notebooks for data analysis and modeling.
  • Familiarity with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
  • Excellent problem-solving skills and the ability to work independently and in a team environment.
  • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

  • Experience with data visualization tools (e.g., Matplotlib, Seaborn).
  • Knowledge of containerization technologies (e.g., Docker) is a plus.
  • Familiarity with CI/CD practices for machine learning.
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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