Job Description & How to Apply Below
Responsibilities Design and build automated processes for large scale data analyses, neural networks, model validation, and model implementation
Use machine learning, data mining, and statistical techniques to create new scalable and predictive models
Test new techniques and emerging technologies in the artificial intelligence field
Help manage proprietary datasets in an AWS environment
Provide consultation to key clients on technical design and feasibility for custom-built solutions
Collaborate with team members in an agile setting on the creation and implementation of project work
Qualifications University degree in Computer Science, Mathematics, Computer Engineering, or similar quantitative field
Proficient programming skills in Python, R, and SQL
Familiar with popular ML frameworks and libraries (tidyverse, XGBoost, PyTorch, Keras, Tensor Flow, Airflow, Pandas, Num Py, etc.)
Experience with version control using Git
Highly motivated, self-starter who can operate with a high degree of autonomy in a fast-paced environment
Strong communication and interpersonal skills
Results-focused, with a proven track record of delivering high quality work on time
Our Commitment At Payson, we are committed to fostering an inclusive and accessible environment. Please let us know if you require any accommodations in our hiring process and we will meet your needs in accordance with the Accessibility for Ontarians with Disabilities Act and the Ontario Human Rights Code.
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