AI Engineer
- Winnipeg, MB, R2M 3J6, 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 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
More about this job
Responsibilities
Design, develop, deploy, and optimize machine learning models and AI-powered applications, integrating them into existing software products. Build and maintain data pipelines, APIs, and services; evaluate emerging AI tools and frameworks; and collaborate on technical architecture and production model performance.
Requirements
A bachelor's or master's degree in computer science, data science, or a related field is required, along with hands-on experience using machine learning frameworks and proficiency in Python. Candidates should have strong analytical, problem-solving, communication, and teamwork skills; experience with NLP, computer vision, generative AI, cloud platforms, or MLOps is an asset.
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
- 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
- Software Engineering
- Natural Language Processing
- Computer Vision
- Generative AI
- AWS
- Azure
- Google Cloud Platform
- MLOps
- Data Pipelines
- Model Training
- Model Inference
- Model Performance Optimization
- Production Environments
- API Development
- AI Frameworks
- Technical Architecture
- Computer Science
- Data Science
- Cross-Functional Collaboration