Top Machine Learning Jobs in Calgary

The role involves building ML solutions to evaluate customer cash flow risks, supporting various products, optimizing decision-making using AI/ML, and collaborating across teams.

The Principal Machine Learning role focuses on leading the development of ML solutions for AEC, building scalable data pipelines, optimizing production ML frameworks, and mentoring junior engineers.

Lead the development of digital co-processors for AI accelerators, optimizing hardware architecture for performance and power efficiency through cross-functional collaboration.

As a Principal Machine Learning Engineer, you'll develop generative AI solutions, architect scalable data pipelines, mentor junior engineers, and communicate technical findings in the AEC domain.

Design and implement deep learning algorithms in C++ or Python for computer vision applications in robotics. Collaborate on data analytics and ML pipelines.

As a Senior Machine Learning Platform Engineer, you'll enhance ML infrastructure, mentor juniors, and optimize data pipelines for high performance.

Drive causal inference capabilities using multi-modal datasets, develop scalable software systems, and research innovative bioinformatics approaches for drug discovery.

The Principal MLOPs Engineer will architect and optimize an ML inference platform, collaborate with teams to meet business goals, lead engineering efforts, and mentor team members.

As a Senior Machine Learning Engineer, you'll lead ML modeling initiatives, develop scalable AI solutions, collaborate with teams, and mentor others while enhancing risk management practices.

Lead design and implementation of AI product initiatives on Edge devices, optimizing ML models, and collaborating across business units to enhance performance and customer experience.

Design and implement technical evaluators for LLM assessment, optimize dataset management, and collaboratively build scalable evaluation frameworks to ensure reliability of AI models.

Lead the engineering strategy and team at interface.ai, driving technological development, managing resources, and delivering innovative AI solutions for banking institutions.

Lead the development of AI models and prototypes, oversee technical architecture, and mentor a team in producing innovative AI solutions and products.

As a Machine Learning Engineer at Hightouch, you will build intelligent solutions for data activation, focusing on personalization, experimentation, predictive modeling, content generation, and budget optimization. Responsibilities include customer research, problem definition, and machine learning infrastructure development.

The Senior Machine Learning Engineer will develop end-to-end ML solutions for risk management, collaborating with various teams to enhance effectiveness and efficiency.

Design and implement machine learning algorithms in C++ and Python, focusing on deep learning for computer vision. Work on real-world robotics challenges including lane detection and object classification.

The Senior Machine Learning Engineer will enhance AI systems for patient and physician features, evaluate ML models, and mentor junior engineers.