AI Engineer
- Ottawa, ON, Canada
- Ontario, ON, K2G 6R3, 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 passionate AI Engineer to join our growing team in Ontario, ON. 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 thrive in a fast-paced, innovative environment, we want to hear from you!
Responsibilities:
- Design, develop, and deploy machine learning models and AI-driven solutions
- Collaborate with cross-functional teams to integrate AI capabilities into 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
- Document technical processes, architectures, and AI system designs
- Contribute to code reviews and uphold best practices in software engineering
Requirements:
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field
- Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Strong programming skills in Python and/or other relevant languages
- Experience with NLP, computer vision, or generative AI is a strong asset
- Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices
- Solid understanding of data structures, algorithms, and statistical modeling
- Strong problem-solving skills and a collaborative, team-oriented mindset
More about this job
Responsibilities
Design, develop, deploy, and optimize machine learning models and AI solutions, integrating them into software products and supporting them with data pipelines. Evaluate emerging AI tools and frameworks, monitor production performance, document system designs, and contribute to code reviews and engineering best practices.
Requirements
A bachelor's or master's degree in computer science, AI, data science, or a related field is required, along with proven experience using machine learning frameworks and strong programming skills in Python or another relevant language. Candidates should understand data structures, algorithms, and statistical modeling; experience in NLP, computer vision, or generative AI, familiarity with cloud platforms and MLOps, and strong problem-solving and collaboration skills are also sought.
Skills
- Machine Learning
- TensorFlow
- PyTorch
- Scikit-Learn
- Python
- Natural Language Processing
- Computer Vision
- Generative AI
- Cloud Platforms
- MLOps
- Data Pipelines
- Statistical Modeling
- Data Structures
- Algorithms
- Problem-Solving
- Collaboration
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
- TensorFlow
- PyTorch
- Scikit-Learn
- Python
- Natural Language Processing
- Computer Vision
- Generative AI
- AWS
- Azure
- Google Cloud Platform
- MLOps
- Data Pipelines
- Model Training
- Model Inference
- Statistical Modeling
- Data Structures
- Algorithms
- Software Development
- AI Frameworks
- Model Optimization
- Production Monitoring
- Code Reviews
- Cross-Functional Collaboration