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Machine Learning Engineer

1 month ago


Calgary, Alberta, Canada NDAX Canada Inc. Full time
Machine Learning Internship Opportunity

NDAX Canada Inc., a leading cryptocurrency trading platform, is seeking a highly motivated student to join our team as a Machine Learning Intern. As a member of our multidisciplinary team, you will have the opportunity to work on exciting projects and contribute to the development of our machine learning models.

Responsibilities:
  • Assist in the development and implementation of machine learning models to improve our trading platform's performance.
  • Conduct research and analysis on large datasets to identify trends and patterns that can inform our business decisions.
  • Collaborate with cross-functional teams to solve complex problems using machine learning techniques.
  • Design and implement data pipelines and workflows to ensure data quality and integrity.
  • Communicate findings and insights to stakeholders through clear and concise reports.
Requirements:
  • Working towards a bachelor's degree in Computer Science, Data Science, Machine Learning, or related field (Must be in the 3rd or 4th year).
  • Strong understanding of machine learning algorithms and techniques.
  • Proficiency in Python and experience with data manipulation libraries (e.g., Pandas, NumPy).
  • Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow) and deep learning libraries (e.g., Keras, PyTorch).
  • Understanding of data preprocessing, feature engineering, and model evaluation.
  • Ability to work in a collaborative team environment.
  • Excellent problem-solving and analytical skills.
  • Strong communication and presentation skills.
  • Experience with cryptocurrency is a plus.
What We Offer:
  • Hourly rate of $18.
  • Opportunity to network with industry experts and build valuable connections.
  • Technically strong, friendly, approachable people to work with.

We are an equal opportunities employer and welcome applications from diverse candidates. If you are passionate about machine learning and want to be part of a dynamic team, please submit your application.