Overview
Skills
Job Details
Job Description
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