- Triunity Software
- St. John's, NL
- 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 intelligent software solutions with machine learning and AI at Triunity Software.
- The Person:The person will design, develop and deploy machine learning models and AI-driven applications, integrate AI into existing software products, research new AI/ML tools, and monitor model performance in production.
- Requirements:The ideal candidate has hands-on experience with TensorFlow, PyTorch or scikit-learn, proficiency in Python, and familiarity with NLP, computer vision or generative AI.
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 forefront of artificial intelligence and software innovation, 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-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, test, and optimize model performance in production environments
- Document technical architectures, workflows, and AI system designs
- Contribute to the full software development lifecycle (SDLC) with a focus on AI/ML components
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Proficiency in Python and/or other relevant programming languages
- 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 attention to detail
- Excellent communication skills and ability to work collaboratively in a team environment
