AI Engineer
Triunity Software
- Location
- Onsite (Winnipeg, MB)
- 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 and AI-powered applications. This role involves integrating AI solutions into existing software products, building data pipelines, and optimizing model performance in production environments.
Skills
Machine Learning
TensorFlow
PyTorch
Scikit-Learn
Python
Software Engineering
Natural Language Processing
Computer Vision
Generative AI
Cloud Platforms
AWS
Azure
Google Cloud Platform
MLOps
Data Pipelines
API Development
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 and software development, building intelligent solutions that make a real impact. If you're passionate about AI and want to shape the future of technology, we want to hear from you.
Responsibilities:
- Design, develop, and deploy machine learning models and AI-powered applications
- Collaborate with cross-functional teams to integrate AI solutions into existing software products
- Research and evaluate emerging AI/ML frameworks, tools, and methodologies
- Build and maintain data pipelines to support model training and inference
- Monitor, test, and optimize model performance in production environments
- Develop and document APIs and services to expose AI capabilities to other systems
- Contribute to technical architecture decisions and best practices around AI development
Requirements:
- Bachelor's or Master's degree in Computer Science, 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 detail-oriented mindset
- Excellent communication skills and ability to work collaboratively in a team environment