AI Engineer
Triunity Software
- Location
- Onsite (Halifax, NS)
- 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. The role involves collaborating with cross-functional teams to solve complex business problems using emerging AI techniques.
Skills
Machine Learning
Deep Learning
Python
TensorFlow
PyTorch
Scikit-Learn
Cloud Platforms
MLOps
Large Language Models
Prompt Engineering
Generative AI
Natural Language Processing
Data Pipelines
Model Training
A/B Testing
Software Engineering
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 forefront of artificial intelligence, building intelligent solutions that make a real impact. If you're passionate about pushing the boundaries of what's possible with AI, we want to hear from you.
Responsibilities:
- Design, develop, and deploy machine learning models and AI-powered applications
- Collaborate with cross-functional teams to identify and solve complex business problems using AI/ML
- Build and maintain scalable data pipelines and model training infrastructure
- Evaluate and integrate large language models (LLMs), NLP, and generative AI tools into software products
- Monitor model performance, conduct A/B testing, and drive continuous improvement
- Research and apply emerging AI techniques, frameworks, and best practices
- Document architectures, workflows, and technical specifications for AI systems
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
- Proven experience building and deploying machine learning or deep learning 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
- Familiarity with LLMs, prompt engineering, and generative AI tools (e.g., OpenAI, Hugging Face)
- Strong understanding of data structures, algorithms, and software engineering principles
- Excellent problem-solving skills and ability to communicate technical concepts clearly