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The demand for AI engineers in Canada is on the rise, with over 35,000 new jobs expected to be created in the next five years. If you're interested in pursuing a career in this field, now is the time to apply. With a variety of job opportunities available, including full-time and part-time positions, you're sure to find a role that suits your skills and experience. Apply today to take advantage of this exciting opportunity and kickstart your career in AI engineering!
Role: Senior AI Engineer
Location: Vancouver, BC Canada
Qualification: Master's degree in Computer science or equivalent experience
Required skills: AI engineers can have strong knowledge of one or more areas related to AI systems, such as navmesh, pathfinding, decision-making, state machines/trees, etc.
Responsibilities: Collaboration and Communication: Work closely with multiple departments, including designers, animators, programmers, and others, using iteration to ensure the quality of the final product while meeting project goals and timelines.
Role: Artificial Intelligence Software Development
Location: Toronto, ON, Canada
Qualification: Master's degree in Computer Science, or a related field with a focus on AI
Required skills: strong coding skills in Python, C++, or other relevant languages. deep comprehension of AI principles and machine learning algorithms. Speaking and hearing recognition technology experience is advantageous.
Responsibilities: Participate in the coding and advancement of our technology for speech synthesis. Work together to develop, test, and improve machine learning models with our AI team.
Apply link:
Role: Sr. Data Engineer
Location: Canada
Qualification: Master's degree in Computer science or equivalent experience
Required skills: 4+ years of experience in data engineering with at least 3 years of hands-on experience in system integration, data and cloud architecture (Azure), and technologies.
Responsibilities: Integrate data with Cloud-based platforms, and publish data through APIs and Portal. Work with the Enterprise Cloud team to enable Cloud components using Jenkins and/or Terraform pipelines.
Role: Lead MLOps Engineer
Location: Toronto, ON, Canada
Qualification: Any Graduation
Required skills: The technical skills you need to be an MLOps engineer are: Data Science, Statistical modeling, Python/R programming, and Machine learning (ML).
Responsibilities: ML Model Implementation: Help implement machine learning models in real-world settings. –
The AI/ML model and pipeline Monitoring: Take part in keeping an eye on the health of the infrastructure and the performance of the model.
Role: Machine Learning Engineer
Location: Canada
Qualification: Bachelor's or master's degree in computer science, software engineering, or equivalent
Required skills: Experience with building, validating, deploying, monitoring, and updating production models. Experience with machine learning frameworks such as TensorFlow, PyTorch, TensorRT, and ONNX.
Responsibilities: Facilitate discussions on code implementation, testing, and software architecture best practices. Engage in active collaboration with team members to find solutions for difficult design and code problems.
Apply link:
Data Scientist/Machine Learning/AI Expert & Startup Founder
Role: Data Scientist/Machine Learning/AI Expert
Location: Toronto, ON, Canada
Qualification: Master's degree in Computer science or equivalent experience
Required skills: Have strong analytical skills with hands-on experience in conducting technological analyses and applying advanced analytics and machine learning methodologies.
Responsibilities: Might have an idea (optional) that will solve a problem that you're passionate about, but you do not want to do it on your own. You understand that you need co-pilots who share your vision and values.
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Role: Co-op Software Engineer – AI Advancement
Location: Burnaby, BC, Canada
Qualification: Third year or higher BS or MS in Electrical/Computer Engineering or equivalent
Required skills: Experience integrating external data sources with generative AI models. Experience with retrieval augmentation with LLM. Profound comprehension of generative AI models' architecture.
Responsibilities: Create Python functions for internal data source consolidation. Use OpenAI API, and Google Gemini API to link internal models, Use LangChain and other AI opensource libraries to enhance data integration with internal tools.
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Role: Senior Machine Learning Engineer
Location: Toronto, ON, Canada
Qualification: Master's degree in Computer science or equivalent experience
Required skills: Expert in the landscape of transformer models and proficient with popular ML frameworks such as PyTorch, Hugging Face, or Scikit-Learn.
Responsibilities: Services for collecting, processing, and generating timely, relevant intel that is accurately linked to competitors, products, industries, and people.
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