Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or related field
Proven experience in building and deploying machine learning or deep learning models in production
Proficiency in Python and ML frameworks like 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
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
Benefits
Bonus based on performance
Health insurance
Training & development
Full Job Description
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
