- Triunity Software
- Ontario, CA
- 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 who develops and deploys machine learning and AI solutions for software products.
- The Person:The person will design, develop, and deploy machine learning models, integrate AI capabilities into software products, research AI or ML tools, build data pipelines, and optimize model performance in production.
- Requirements:The ideal candidate has experience with TensorFlow, PyTorch, scikit-learn, Python, NLP, computer vision, generative AI, cloud platforms, and MLOps practices.
About the role
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
