AI Engineer
Triunity Software
- Location
- Onsite (Regina, SK)
- 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 production machine learning models and data pipelines. The role involves collaborating with cross-functional teams to solve business problems using emerging AI techniques and frameworks.
Skills
Python
Machine Learning
Artificial Intelligence
TensorFlow
PyTorch
Scikit-Learn
Cloud Platforms
MLOps
Natural Language Processing
Deep Learning
Generative AI
Large Language Models
Data Pipelines
Model Deployment
Problem-Solving
Communication
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 driven AI Engineer to join our growing team in Calgary, AB. This is an exciting opportunity to work at the cutting edge of artificial intelligence, building intelligent solutions that make a real impact. If you're passionate about machine learning, data, and innovation — we want to hear from you.
Responsibilities:
- Design, develop, and deploy AI and machine learning models for production environments
- Collaborate with cross-functional teams to identify and solve complex business problems using AI
- Build and maintain data pipelines to support model training and inference
- Evaluate and integrate large language models (LLMs), NLP, and other AI frameworks
- Monitor model performance and implement continuous improvement strategies
- Research and apply emerging AI/ML techniques and industry best practices
- Document technical solutions, architectures, and processes clearly and thoroughly
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field
- Proven experience building and deploying machine learning or AI models in production
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience with cloud platforms (AWS, Azure, or GCP) and MLOps practices
- Strong understanding of NLP, deep learning, and generative AI concepts
- Excellent problem-solving skills and ability to work in a fast-paced environment
- Strong communication skills and a collaborative, team-oriented mindset