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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.
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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...

Artificial Intelligence/Machine Learning Lead

$ 7,500 - $ 8,000 / month
Checking job availability...
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Simplified

We are representing our client in the global technology and engineering space to look for an experienced AI/ML engineer to join their team. The ideal candidate will have a strong background in machine learning and artificial intelligence with expertise in building and deploying AI-driven solutions. You will work closely with data scientists, software engineers and product teams to design, develop, and implement AI/ ML features that drive innovative Public Safety operations.

Responsibilities

  • Evaluate model performance using appropriate metrics, and continuously improve models through hyperparameter tuning, cross-validation, and other techniques.
  • Deploy machine learning models into production environments, ensuring their scalability, reliability, and performance. Integrate AI models with existing systems and APIs.
  • Work closely with cross-functional teams (data scientists, engineers, product managers, and designers to identify business problems and translate them into AI/ ML solutions.

Requirements

  • Minimum 2+ years of professional experience in AI/ ML engineering or a related field.
  • Prior experience as a project member of an AI/ ML implementation project.
  • Broad knowledge of current AI/ ML technologies such as Large Language Models (LLMs), Automatic Speech Recognition (ASR) and video analytics and how to incorporate said technologies into solutions across various domains.
  • Proficiency in programming languages such as Python, R, or Java.
  • Hands-on experience with popular machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn, Keras)
  • Strong knowledge of algorithms and data structures.
  • Familiarity with deep learning, reinforcement learning, computer vision, NLP, or other specialized AI domains.
  • Knowledge of SQL and data manipulation.
  • Experience with containerization and orchestration tools (Docker, Kubernetes) is a plus.
  • Strong analytical skills with the ability to translate complex problems into practical, scalable solutions.
  • Excellent written and verbal communication skills. Ability to explain complex technical concepts to non-technical stakeholders.
  • Able to work effectively in a collaborative, team-oriented environment.
  • Familiarity with agile development methodologies.

We are representing our client in the global technology and engineering space to look for an experienced AI/ML engineer to join their team. The ideal candidate will have a strong background in machine learning and artificial intelligence with expertise in building and deploying AI-driven solutions. You will work closely with data scientists, software engineers and product teams to design, develop, and implement AI/ ML features that drive innovative Public Safety operations.

Responsibilities

  • Evaluate model performance using appropriate metrics, and continuously improve models through hyperparameter tuning, cross-validation, and other techniques.
  • Deploy machine learning models into production environments, ensuring their scalability, reliability, and performance. Integrate AI models with existing systems and APIs.
  • Work closely with cross-functional teams (data scientists, engineers, product managers, and designers to identify business problems and translate them into AI/ ML solutions.

Requirements

  • Minimum 2+ years of professional experience in AI/ ML engineering or a related field.
  • Prior experience as a project member of an AI/ ML implementation project.
  • Broad knowledge of current AI/ ML technologies such as Large Language Models (LLMs), Automatic Speech Recognition (ASR) and video analytics and how to incorporate said technologies into solutions across various domains.
  • Proficiency in programming languages such as Python, R, or Java.
  • Hands-on experience with popular machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn, Keras)
  • Strong knowledge of algorithms and data structures.
  • Familiarity with deep learning, reinforcement learning, computer vision, NLP, or other specialized AI domains.
  • Knowledge of SQL and data manipulation.
  • Experience with containerization and orchestration tools (Docker, Kubernetes) is a plus.
  • Strong analytical skills with the ability to translate complex problems into practical, scalable solutions.
  • Excellent written and verbal communication skills. Ability to explain complex technical concepts to non-technical stakeholders.
  • Able to work effectively in a collaborative, team-oriented environment.
  • Familiarity with agile development methodologies.