Epicareer Might not Working Properly
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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...

GIS ML Engineer

$ 5,000 - $ 6,000 / month
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Job Description:
GIS ML Engineer will assist in developing and integrating machine learning models with geographic information systems (GIS) for the analysis, visualization, and processing of spatial data. This role requires collaboration with cross-functional teams to deliver data-driven solutions, automate geospatial tasks, and provide insights from spatial datasets.

Job Requirements:
  • Bachelor’s degree in Geography, Computer Science, Data Science, or a related field. (Master’s degree is a plus)
  • 3-5 years of experience with GIS software (e.g., QGIS, ArcGIS).
  • Basic experience in machine learning, preferably using Python and popular libraries such as Scikit-learn, TensorFlow, or PyTorch.
  • Experience working with geospatial data formats (e.g., shapefiles, GeoJSON, raster, vector).
  • Proficient in programming languages such as Python and JavaScript (experience with geospatial libraries like GDAL, Fiona, or Rasterio is a plus).
  • Understanding of machine learning concepts such as supervised learning, unsupervised learning, and model evaluation.
  • Familiarity with geospatial database management systems (PostGIS, SQL).
  • Experience with cloud platforms like AWS, GCP, or Azure, especially for geospatial applications, is an advantage.
  • Good understanding of spatial analysis, spatial statistics, and data visualization techniques.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills and the ability to work in a team-oriented environment.
  • Basic knowledge of front-end web mapping frameworks (e.g., Leaflet, OpenLayers) is an added advantage.

Additional Preferred Qualities:
  • Passion for working with spatial data and applying machine learning to solve geospatial problems.
  • Eagerness to learn and adapt to new technologies and methodologies.
  • Strong attention to detail and ability to work independently with minimal supervision.

Key Responsibilities:
  • Assist in the design, development, and deployment of GIS-based machine learning models.
  • Perform geospatial data collection, cleaning, and preprocessing for analysis.
  • Develop custom algorithms to analyze large spatial datasets using machine learning techniques.
  • Collaborate with senior engineers and data scientists to improve and optimize model performance.
  • Integrate machine learning outputs into GIS platforms for mapping, visualization, and analysis.
  • Develop and maintain geospatial databases and support data integration efforts.
  • Contribute to the creation of tools or scripts to automate geospatial tasks using Python, R, or other relevant languages.
  • Prepare technical documentation and reports summarizing project findings and recommendations.
  • Stay up to date with advancements in GIS, machine learning, and data science technologies.