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...

Data Scientist / AI Engineer

Salary undisclosed
Checking job availability...
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Simplified

Job Requirements :

  • Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, or other related fields;
  • Required to know Apache Spark, Hadoop, and MongoDB to manage it all;
  • Have minimum 3 years experiences, preferably in Financial Service or Financial Technology Environment;
  • Proven work experience as a AI Engineer, Data Scientist, or in a similar role;
  • Proficiency in programming languages such as Python, Java, or Scala;
  • Experience with data processing frameworks such as Apache Hadoop, Spark, or Flink, In-depth knowledge of SQL and NoSQL databases;
  • Required to know Probability, statistics, and linear algebra: These are needed to implement different AI and machine learning models;
  • Required to know Algorithms and frameworks: such as linear regression and Naive Bayes, as well as deep learning algorithms such as recurrent neural networks and generative adversarial networks and be able to implement them with a framework. Common AI frameworks include Theano, TensorFlow, Caffe, Keras, and PyTorch;
  • Familiarity with cloud services, such as AWS, Azure, or Google Cloud Platform;
  • An ability and eagerness to constantly learn and teach others;
  • Ability to work independently in a professional and teamwork driven setting;
  • Self-motivated, work quickly and accurately, and able to adapt to changing conditions.

Preferred Qualifications :

  • Experience related fields with 2+ years academic/industrial experience in AI/ML/NLP based software development;
  • Experience with one or more general purpose programming languages including but not limited to: JS, Python, Golang or C/C++;
  • Experience in the development of production-level AI application leveraging various LLMs (including prompt engineering best practices);
  • Exposure to Deep Learning, NLP, LLM, or related fields and a strong interest and desire to learn about them.

Job Descriptions :

  • Design and Develop AI Models : AI Engineers create and validate algorithms, neural networks, and other machine learning techniques. They design and develop AI models from scratch, ensuring they simulate human intelligence processes;
  • Implement AI Solutions : These professionals integrate AI solutions with existing business systems to enhance functionality and user interaction. They write code and deploy models to production environments;
  • Manage Data Flow and Infrastructure : AI Engineers handle data flow and infrastructure to ensure effective AI deployment. This involves setting up data pipelines, managing storage, and optimizing performance;
  • Collaborate Across Teams : They work closely with cross-functional teams to align AI initiatives with organizational goals. Collaboration with data scientists, software engineers, and other stakeholders is essential.