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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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