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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...

Machine Learning Engineer

  • Full Time, onsite
  • Goliath Partners
  • New York City Metropolitan Area, United States of America
Salary undisclosed
Checking job availability...
Original
Simplified

We're working with a Global Hedge Fund with over 50 billion 50 AUM that are looking to hire a Machine Learning Engineer.

Role:

Design, develop, and implement machine learning models to analyze large-scale financial data and identify market opportunities.

Collaborate with portfolio managers, researchers, and data scientists to integrate models into trading strategies.

Optimize algorithms for efficiency, accuracy, and scalability in real-time trading environments.

Explore new data sources, perform feature engineering, and evaluate their predictive power.

Stay current with the latest advancements in AI/ML technologies and contribute to the continuous innovation of our tools and platforms.

Essential skills:

Bachelor’s, Master’s, or Ph.D. in Computer Science, Mathematics, Statistics, or a related field.

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

Strong understanding of supervised, unsupervised, and reinforcement learning techniques.

Experience with time-series analysis and predictive modeling.

Familiarity with data processing frameworks (e.g., Pandas, NumPy) and big data technologies (e.g., Spark, Hadoop) is a plus.

An understanding of financial markets and quantitative trading is highly desirable but not mandatory - they're happy to teach you the markets!

Total Comp: 500-900k

We're working with a Global Hedge Fund with over 50 billion 50 AUM that are looking to hire a Machine Learning Engineer.

Role:

Design, develop, and implement machine learning models to analyze large-scale financial data and identify market opportunities.

Collaborate with portfolio managers, researchers, and data scientists to integrate models into trading strategies.

Optimize algorithms for efficiency, accuracy, and scalability in real-time trading environments.

Explore new data sources, perform feature engineering, and evaluate their predictive power.

Stay current with the latest advancements in AI/ML technologies and contribute to the continuous innovation of our tools and platforms.

Essential skills:

Bachelor’s, Master’s, or Ph.D. in Computer Science, Mathematics, Statistics, or a related field.

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

Strong understanding of supervised, unsupervised, and reinforcement learning techniques.

Experience with time-series analysis and predictive modeling.

Familiarity with data processing frameworks (e.g., Pandas, NumPy) and big data technologies (e.g., Spark, Hadoop) is a plus.

An understanding of financial markets and quantitative trading is highly desirable but not mandatory - they're happy to teach you the markets!

Total Comp: 500-900k