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Machine Learning Intern

RESPONSIBILITIES:

•    Assist in developing and implementing machine learning models for financial analytics.
•    Conduct data preprocessing and feature engineering to prepare data for modeling.
•    Evaluate model performance and fine-tune algorithms for improved accuracy.
•    Collaborate with data scientists and engineers to integrate models into production systems.
•    Document processes and findings for future reference.

QUALIFICATIONS:

•    Currently pursuing a degree in Computer Science, Data Science, or a related field.
•    Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
•    Proficiency in programming languages such as Python or R.
•    Strong analytical and problem-solving skills.
•    Ability to work independently and as part of a team.

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Address: The Plaza Building,

317 George St 3rd floor New Brunswick,

NJ 08901

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Disclaimer: The findings presented are grounded in simulated or hypothetical performance, which come with notable constraints. Unlike data from a genuine trading record, this doesn't reflect real-world trading. Furthermore, because these trades are not actually conducted, potential effects of certain market elements, like limited liquidity, might not be fully represented. The nature of simulated or hypothetical trading systems also means they're formulated using past data. There's no guarantee that any account will realize gains or suffer losses that mirror what's presented here. Moreover, there's no financial risk associated with hypothetical trades, so they don't capture the real-world implications of such risks. Factors like enduring financial losses or sticking to a trading strategy despite setbacks can significantly influence actual trading outcomes. Several other market-related factors or challenges in executing a specific trading strategy aren't entirely addressed when crafting hypothetical results, and these can negatively impact real trading outcomes. Engaging in trading carries inherent risks. It's possible to incur losses. Previous performance doesn't guarantee future outcomes. Not everyone is suited for futures and forex trading.

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