Machine Learning Internship

As one of Canada’s largest and fastest growing cryptocurrency trading platforms, NDAX has set the bar high for the country’s fintech industry and is constantly leading the way in terms of security and innovation. We’re on a mission to empower more Canadians to unlock the full potential of digital finance. To address the various needs in the Canadian cryptocurrency space, NDAX has assembled a multidisciplinary team with diverse backgrounds, including finance, technology, engineering, compliance, marketing, and more.

We’re proud to have been recognized as one of Canada’s Best Workplaces by Great Place to Work®.

NDAX has an exciting opportunity for a highly motivated student to join us as a Machine Learning Intern.

This role is an on-site job and we are looking for someone based in Calgary.

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

Responsibilities:

• Assist in the development and implementation of machine learning models
• Conduct research and analysis on large datasets to identify trends and patterns
• Collaborate with cross-functional teams to solve complex problems using machine learning techniques
• Design and implement data pipelines and workflows
• Communicate findings and insights to stakeholders through clear and concise reports

Benefits

• Hourly rate of $18
• Opportunity to network with industry experts and build valuable connections
• Technically strong, friendly, approachable people to work with