- Triunity Software
- San Francisco, CA
- Full-Time
- 7 days ago
- $100,000–$110,000 / year
AI/ML Engineer.
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AI/ML Engineer: our view in 3 lines...
- The Role:This role is for an engineer who designs and deploys machine learning and deep learning models and AI-driven solutions.
- The Person:The person will design, develop, and deploy machine learning models, build and maintain data pipelines and model training infrastructure, evaluate model performance, and monitor deployed models.
- Requirements:The ideal candidate has proven experience building and deploying machine learning or deep learning models with Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
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/ML Engineer to join our growing team in Calgary, AB. This is an exciting opportunity to work on cutting-edge artificial intelligence and machine learning solutions that make a real impact. If you're passionate about turning data into intelligent systems, we want to hear from you!
Responsibilities:
- Design, develop, and deploy machine learning models and AI-driven solutions
- Collaborate with cross-functional teams to identify and scope AI/ML opportunities
- Build and maintain scalable data pipelines and model training infrastructure
- Evaluate and optimize model performance using relevant metrics and testing frameworks
- Research and implement state-of-the-art ML algorithms and techniques
- Monitor deployed models and iterate based on real-world performance data
- Document technical processes, architectures, and model specifications
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field
- Proven experience building and deploying machine learning or deep learning models
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience with cloud platforms (AWS, Azure, or GCP) and MLOps practices
- Strong understanding of data preprocessing, feature engineering, and model evaluation
- Familiarity with NLP, computer vision, or generative AI is a strong asset
- Excellent problem-solving skills and ability to work in an agile environment

