Are you looking for an AI Engineer job in Canada? Check out the jobs that match your qualifications
There is a growing demand for AI engineers in Canada, with over 35,000 new jobs expected to be created over the next five years. If you're interested in a career in this field, now is your time to apply. With a variety of full-time and part-time work opportunities available, you're sure to find a role that matches your skills and experience. Apply now to take advantage of this exciting opportunity and kickstart your career in AI engineering.
Respawn Entertainment
role: Senior AI Engineer
position: Vancouver, British Columbia, Canada
Eligibility: Master's degree in Computer Science or equivalent experience
Required skills: AI Engineers may have in-depth knowledge of one or more areas related to AI systems, such as navmesh, pathfinding, decision making, state machines/trees, etc.
responsibility: Collaborate and Communicate: You'll work closely with multiple disciplines including designers, animators, and programmers to meet project goals and timelines while ensuring the quality of the final product through iterative work.
Vosin
role: Artificial Intelligence Software Development
position: Toronto, Ontario, Canada
Eligibility: Master's degree in Computer Science or related field with emphasis on AI
Required skills: Strong coding skills in Python, C++ or other relevant languages. Strong understanding of AI principles and machine learning algorithms. Experience with speech and auditory recognition technologies is an advantage.
responsibility: Get involved in coding and advancing speech synthesis technology. Work with our AI team to develop, test and improve machine learning models.
Red blood cells
Eligibility: Master's degree in Computer Science or equivalent experience
Required skills: 4+ years of data engineering experience with at least 3 years of hands-on experience in systems integration, data and cloud architecture (Azure) and technology.
responsibility: Integrate data with cloud based platforms and expose data through APIs and portals. Work with enterprise cloud teams to enable cloud components using Jenkins and Terraform pipelines.
S&P Global
role: Lead MLOps Engineer
position: Toronto, Ontario, Canada
Eligibility: Graduation Ceremony
Required skills: The technical skills required to become an MLOps engineer are data science, statistical modeling, Python/R programming, and machine learning (ML).
responsibility: Implementing ML models: Helps you implement machine learning models in real-world environments.
Monitor AI/ML models and pipelines: Participate in monitoring infrastructure health and model performance.
DRW Holdings LLC.
role: Machine Learning Engineer
Eligibility: Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent
Required skills: Experience building, validating, deploying, monitoring and updating operational models. Experience with machine learning frameworks such as TensorFlow, PyTorch, TensorRT, ONNX.
responsibility: Facilitate discussions on code implementation, testing, and software architecture best practices. Actively collaborate with team members to find solutions to challenging design and code problems.
Data Scientist/Machine Learning/AI Expert & Startup Founder
Antler
role: Data Scientist/Machine Learning/AI Expert
position: Toronto, Ontario, Canada
Eligibility: Master's degree in Computer Science or equivalent experience
Required skills: Strong analytical skills with hands-on experience conducting technical analysis and applying advanced analytics and machine learning methodologies.
responsibility: You may have an idea (option) that solves a problem you're passionate about, but you don't want to execute it alone – you understand that you need a co-pilot who shares your vision and values.
NETINT Technology
role: Collaborative Software Engineer – AI Advancement
position: Burnaby, British Columbia, Canada
Eligibility: 3+ years of Bachelor's or Master's degree in Electrical/Computer Engineering or equivalent
Required skills: Experience in integrating external data sources into generative AI models. Experience in search augmentation using LLM. Strong understanding of generative AI model architecture.
responsibility: Create Python functions for internal data source integration. Link internal models using OpenAI API and Google Gemini API, and use LangChain and other AI open source libraries to enhance data integration with internal tools.
crew
role: Senior Machine Learning Engineer
position: Toronto, Ontario, Canada
Eligibility: Master's degree in Computer Science or equivalent experience
Required skills: He is an expert in Transformer models and is familiar with popular ML frameworks such as PyTorch, Hugging Face, and Scikit-Learn.
responsibility: Services for collecting, processing and generating timely and relevant information precisely linked to competitors, products, industries and people.
