AI Engineer
Triunity Software
- Location
- Onsite (Quebec, QC)
- Compensation
- CAD 100k - CAD 110k/yr
- Employment
- Full-time
- Level
- Mid Level
Posted 3 weeks ago
About the role
Triunity Software is seeking an AI Engineer to design, develop, and deploy machine learning models for production environments. The role involves building data pipelines and collaborating with cross-functional teams to integrate AI solutions into software products.
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
- Health Insurance
- Training And Development
Perks
- Performance-Based Bonus
Full job details
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