AI Engineer
- Quebec, QC, G1A 0A2, Canada
$100,000 to $110,000 CAD / year · Full-time
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Job details
- Pay
- $100,000 to $110,000 CAD / year
- Job type
- Full-time
- Posting language
- English
- Posted
Original job description
Benefits:
- Bonus based on performance
- Health insurance
- Training & development
About the Role:
Triunity Software is looking for a talented and passionate AI Engineer to join our growing team in Quebec, QC. This is an exciting opportunity to work at the cutting edge of artificial intelligence, building innovative solutions that make a real impact. If you thrive in a fast-paced tech environment and love turning complex problems into intelligent systems, we want to hear from you!
Responsibilities:
- Design, develop, and deploy machine learning and AI models for production environments
- Build and maintain data pipelines to support model training, evaluation, and inference
- Collaborate with cross-functional teams to integrate AI solutions into existing software products
- Research and evaluate emerging AI/ML frameworks, tools, and methodologies
- Monitor, optimize, and fine-tune deployed models for performance and accuracy
- Write clean, scalable code and contribute to code reviews and technical documentation
- Participate in the full AI development lifecycle from ideation and prototyping to deployment
Requirements:
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Proficiency in Python and familiarity with software engineering best practices
- Experience with NLP, computer vision, or generative AI is a strong asset
- Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices
- Strong analytical and problem-solving skills with a data-driven mindset
- Excellent communication skills and ability to work collaboratively in a team environment
More about this job
Responsibilities
Design, develop, deploy, and optimize AI and machine learning models for production, while building data pipelines for training, evaluation, and inference. Collaborate with cross-functional teams to integrate AI into software products, assess emerging tools and methods, and contribute code, reviews, and technical documentation throughout the development lifecycle.
Requirements
A bachelor's or master's degree in computer science, AI, data science, or a related field is required, along with hands-on experience using machine learning frameworks and proficiency in Python. Experience with NLP, computer vision, or generative AI is an asset; familiarity with cloud platforms and MLOps, strong analytical skills, and effective communication and collaboration are also sought.
Skills
- Machine Learning
- Artificial Intelligence
- TensorFlow
- PyTorch
- Scikit-Learn
- Python
- Data Pipelines
- Natural Language Processing
- Computer Vision
- Generative AI
- AWS
- Azure
- Google Cloud Platform
- MLOps
- Model Deployment
- Data Analysis
Benefits
- Performance-Based Bonus
- Health Insurance
- Training And Development
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
- Science & Research
Keywords
- Artificial Intelligence
- Machine Learning
- TensorFlow
- PyTorch
- Scikit-Learn
- Python
- Data Pipelines
- Model Training
- Model Evaluation
- Inference
- Natural Language Processing
- Computer Vision
- Generative AI
- AWS
- Azure
- Google Cloud Platform
- MLOps
- Production Deployment
- Model Optimization
- Model Fine-Tuning
- Software Engineering
- Code Reviews
- Technical Documentation
- AI Development Lifecycle
- Prototyping
- Cross-Functional Collaboration