- Triunity Software
- Winnipeg, MB
- Full-Time
- 8 days ago
AI Engineer.
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AI Engineer: our view in 3 lines...
- The Role:This role is for an AI Engineer building machine learning models and AI-powered applications in a software development environment.
- The Person:The person will design, develop, and deploy machine learning models, integrate AI solutions into software products, build and maintain data pipelines, and monitor and optimize model performance in production.
- Requirements:The ideal candidate has a bachelor's or master's degree in Computer Science, Data Science, or a related field, plus hands-on experience with TensorFlow, PyTorch, scikit-learn, Python, NLP, computer vision, generative AI, AWS, Azure, or GCP.
About the role
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
