- Triunity Software
- Quebec, QC
- Full-Time
- 8 days ago
AI Engineer.
Before you go
Before you leave us, sign up for our email alerts
We don't do job spam, just the best digital jobs delivered straight to your inbox.
AI Engineer: our view in 3 lines...
- The Role:This role is for an AI Engineer developing and deploying machine learning and AI models for production use.
- The Person:The person will design, develop, deploy, monitor, and fine-tune AI and machine learning models, build and maintain data pipelines, and integrate AI solutions into software products.
- Requirements:The ideal candidate has a Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field and hands-on experience with TensorFlow, PyTorch, scikit-learn, Python, NLP, computer vision, generative AI, AWS, Azure, or GCP.
About the role
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
