AI Engineer

103; Regina; On-site; CAD 120,000 - 170,000; Full time

Benefits offered by this job

Bonus based on performance

Health insurance

Training & development

Job summary

Triunity Software is seeking an AI Engineer to join our Calgary team. You will design, deploy, and monitor AI/ML models that solve real business problems and improve products. You’ll build robust data pipelines and work with NLP, LLMs, and modern AI frameworks.

Ideal candidates hold a CS/DS degree and have production ML experience, with strong Python skills and cloud/MLOps exposure. This role emphasizes collaboration, fast execution, and impactful AI solutions.

Qualifications

• Bachelor's or master's degree in CS/DS or related field.
• Proven experience deploying ML models in production environments.
• Strong Python programming and ML framework knowledge.
• Experience with cloud platforms and MLOps practices.

Responsibilities

• Design, develop, and deploy AI/ML models for production.
• Collaborate with cross-functional teams to solve business problems with AI.
• Build and maintain data pipelines for training and inference.
• Evaluate and integrate LLMs, NLP, and AI frameworks.
• Monitor model performance and drive continuous improvement.
• Document architectures and processes clearly.

Skills

Python

NLP

MLOps

Cloud platforms

Data pipelines

Team collaboration

Problem solving

Education

BSc or MSc in CS/DS

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Azure

GCP

Job description

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