- Triunity Software
- Halifax, NS
- 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 and generative AI solutions in software products.
- The Person:The person will design, develop, deploy, and monitor machine learning models and AI applications, build scalable data pipelines and model training infrastructure, and integrate LLMs, NLP, and generative AI tools into software products.
- Requirements:The ideal candidate has a Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field, plus experience with Python, TensorFlow, PyTorch, scikit-learn, AWS, Azure, GCP, LLMs, prompt engineering, and Hugging Face.
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, building intelligent solutions that make a real impact. If you're passionate about pushing the boundaries of what's possible with AI, we want to hear from you.
Responsibilities:
- Design, develop, and deploy machine learning models and AI-powered applications
- Collaborate with cross-functional teams to identify and solve complex business problems using AI/ML
- Build and maintain scalable data pipelines and model training infrastructure
- Evaluate and integrate large language models (LLMs), NLP, and generative AI tools into software products
- Monitor model performance, conduct A/B testing, and drive continuous improvement
- Research and apply emerging AI techniques, frameworks, and best practices
- Document architectures, workflows, and technical specifications for AI systems
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
- Proven experience building and deploying machine learning or deep learning models in production
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience with cloud platforms (AWS, Azure, or GCP) and MLOps practices
- Familiarity with LLMs, prompt engineering, and generative AI tools (e.g., OpenAI, Hugging Face)
- Strong understanding of data structures, algorithms, and software engineering principles
- Excellent problem-solving skills and ability to communicate technical concepts clearly
