- Triunity Software
- DC, DC
- 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 builds machine learning models and AI-driven applications for teams that want to turn data into intelligent systems.
- The Person:The person will design, develop, and deploy machine learning models, build and maintain data pipelines, monitor production models, and document model architectures and experiment results.
- Requirements:The ideal candidate has proven experience building and deploying machine learning or deep learning models in production, plus proficiency in Python and 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 at the forefront of artificial intelligence and machine learning, building innovative 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 applications
- Collaborate with cross-functional teams to identify and solve complex business problems using ML solutions
- Build and maintain scalable data pipelines and model training infrastructure
- Conduct model evaluation, performance tuning, and continuous improvement of deployed systems
- Research and implement state-of-the-art algorithms in NLP, computer vision, or predictive analytics
- Monitor production ML models and ensure reliability, accuracy, and scalability
- Document technical processes, model architectures, and experiment results
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, 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 tools
- Strong understanding of data preprocessing, feature engineering, and model evaluation techniques
- Familiarity with SQL/NoSQL databases and big data technologies
- Excellent problem-solving skills and ability to communicate technical concepts clearly