AI Engineer
- Halifax, NS, B3H 2M3, Canada
$100,000 to $110,000 CAD / year · Full-time
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Job details
- Pay
- $100,000 to $110,000 CAD / year
- Job type
- Full-time
- Posting language
- English
- Posted
Original 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 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
More about this job
Responsibilities
Design, develop, deploy, and monitor machine learning models and AI-powered applications, including solutions using large language models, natural language processing, and generative AI. Collaborate across teams to solve business problems, maintain scalable data and model-training infrastructure, evaluate performance, research emerging techniques, and document AI systems.
Requirements
A bachelor's or master's degree in computer science, data science, artificial intelligence, or a related field is required, along with proven experience deploying machine learning or deep learning models in production. Candidates should be proficient in Python and ML frameworks, familiar with cloud platforms, MLOps, LLMs, prompt engineering, and generative AI, and have strong software engineering, problem-solving, and communication skills.
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
- Performance-Based Bonus
- Health Insurance
- Training And Development
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
- Science & Research
Keywords
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Python
- TensorFlow
- PyTorch
- Scikit-Learn
- AWS
- Azure
- GCP
- MLOps
- Large Language Models
- Prompt Engineering
- Generative AI
- OpenAI
- Hugging Face
- Natural Language Processing
- Data Pipelines
- Model Training Infrastructure
- A/B Testing
- Model Performance
- Data Structures
- Algorithms
- Software Engineering
- AI Applications