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, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment
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that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps
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of education and experience. Preferred Qualifications: Bachelor's degree in Computer Science, Computer Engineering, Data Science or related discipline and 3 years related experience SKILLS - Strong written and
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, Machine Learning, Software Engineering, Chemical Engineering, Civil Engineering, Mechanical Engineering, Robotics, Geotechnology, Operational Research, Computational Physics
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that are not only robust but also optimized for future AI and machine learning applications. This role involves: - Designing, developing, maintaining, and optimizing the data infrastructure required for accurate
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the institution to identify and address technology-related needs and will be expected to stay current with emerging trends and best practices in web technologies, APIs, .Net technologies, and AI tools
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understanding of machine learning and AI including python and pytorch. Your role will be pivotal in establishing NDIF as a leading hub for AI research in America. You will drive initiatives that enhance our
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the next generation of thinkers, innovators, leaders and lifelong learners. Responsibilities Perform requirement gathering and analysis to design learning applications Provide timely development support for
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applications. Use SQL & Hibernate to query & modify relational database management systems. Implement microservices architecture using REST APIs. Mentor more junior developers & review their code. Provide team
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plus Experience in the development and/or implementation of algorithms and/or computational pipelines Background/experience in building statistical and/or machine learning methods, in particular for data