Applied AI Co-op Student
Toronto, ON, Canada
This position offers the opportunity to leverage the entire spectrum of AI tools towards solving a wide variety of business problems as well as unique challenges in problem-solving. The focus is on applying a combination of industry-standard practices and innovative ideas using structured and unstructured data from multiple sources and applying AI, machine learning and statistical techniques to build, evaluate and implement models.
MAJOR RESPONSIBILITIES:
• Work closely with team of data scientists to design, build, and test machine learning models to solve complex business challenges.
• Work with large structured and unstructured datasets across multiple source systems to generate insights and solve business problems.
• Implement advanced statistical and deep learning models to solve problems related to forecasting, pricing, underwriting and risk engineering.
• Build production quality solutions and work with IT/AI Engineering teams to integrate them in business applications.
• Present results to both technical and non-technical leaders.
• Pursuing undergraduate or graduate degree in computer science, computer engineering, statistics or other quantitative fields.
• Experience in Python programming including common libraries such as Scikit Learn, Pandas, Numpy, NLTK etc.
• Knowledge of databases and approaches to extracting data preferred.
• Familiar with the development of machine learning & deep learning models.
• Text Analytics & Natural Language Processing experience preferred.
Please submit a cover letter, resume, and unofficial transcript as part of your application.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Deep Learning Engineering Machine Learning ML models NLP NLTK NumPy Pandas Python Scikit-learn Statistics Unstructured data
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