AI Engineer
- Victoria, BC, V9E 9Z9, 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 Victoria, BC. This is an exciting opportunity to work at the cutting edge of artificial intelligence, building innovative solutions that make a real impact. If you're passionate about AI and want to shape the future of software, we want to hear from you.
Responsibilities:
- Design, develop, and deploy machine learning models and AI-driven 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, evaluate, and optimize model performance in production environments
- Contribute to technical documentation and best practices for AI development
- Participate in code reviews and support a culture of engineering excellence
Requirements:
- Proven experience as an AI Engineer, Machine Learning Engineer, or similar role
- Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Solid understanding of NLP, computer vision, or generative AI techniques
- Experience with cloud platforms (AWS, Azure, or GCP) and MLOps practices
- Familiarity with data engineering tools and SQL/NoSQL databases
- Strong problem-solving skills and ability to work independently or in a team
- Bachelor's or Master's degree in Computer Science, AI, or a related field (or equivalent experience)
More about this job
Responsibilities
Design, develop, deploy, and optimize machine learning models and AI applications, while building and maintaining data pipelines for training and inference. Collaborate with cross-functional teams to integrate AI into software products, evaluate emerging tools and methods, and contribute to documentation, code reviews, and engineering best practices.
Requirements
Candidates should have proven experience in an AI or machine learning engineering role, strong Python skills, and proficiency with frameworks such as TensorFlow, PyTorch, or scikit-learn. They should understand NLP, computer vision, or generative AI; have experience with cloud platforms, MLOps, data engineering tools, and SQL or NoSQL databases; and hold a relevant bachelor's or master's degree or equivalent experience.
Skills
- Python
- Machine Learning
- TensorFlow
- PyTorch
- Scikit-Learn
- Natural Language Processing
- Computer Vision
- Generative AI
- Cloud Platforms
- MLOps
- Data Engineering
- SQL
- NoSQL
- Data Pipelines
- Model Deployment
- Problem-Solving
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
- Python
- TensorFlow
- PyTorch
- Scikit-Learn
- Natural Language Processing
- Computer Vision
- Generative AI
- AWS
- Azure
- Google Cloud Platform
- MLOps
- Data Engineering
- SQL
- NoSQL Databases
- Data Pipelines
- Model Training
- Model Inference
- Model Performance Optimization
- AI-Driven Applications
- Software Integration
- AI/ML Frameworks
- Technical Documentation
- Code Reviews
- Computer Science