Top Machine Learning Jobs in Calgary

Lead a team of ML engineers and consultants to deliver AI/ML solutions on AWS while driving strategy, technical innovation, and practice development.

Design and build language models for AI security products, managing data pipelines, experiments, and model evaluations to ensure reliability and safety.

The Machine Learning Engineer develops and deploys models to optimize demand forecasting and vehicle positioning, collaborating with cross-functional teams to enhance rider experience.

The Staff ML Ops Engineer builds and maintains infrastructure for ML applications, ensuring they are robust and production-ready, while collaborating with data scientists and ML engineers.

The Staff Software Engineer, AI/ML will design and develop intelligent agents, integrate them with existing systems, optimize performance, and collaborate with product teams, focusing on innovative AI technologies.

Design, build, and improve ML systems and infrastructure, mentor junior engineers, and write maintainable code in a customer-focused environment.

As a Machine Learning Engineer, you'll develop scalable ML solutions using Google Cloud Platform and Vertex AI, collaborate with teams, and operationalize models from ingestion to monitoring.

You will build frameworks for LLM-powered agents, design reinforcement learning approaches, lead development of scalable evaluation systems, and mentor other engineers while writing robust code for enterprise-grade assistants.

The Senior Machine Learning Engineer will build and enhance AI/ML solutions for risk management, using advanced techniques like LLMs and algorithms for predictive analytics and automated assessments.

The Staff Machine Learning Engineer will develop and deploy advanced AI/ML solutions, focusing on product features like predictive analytics and risk assessments, using LLMs and classical ML techniques.

The Machine Learning Scientist will design experiments, analyze AI model behaviors, and develop metrics to improve model evaluation, collaborating closely with engineers and product teams.

Lead open-source research in AI, design experiments, develop methodologies, and analyze data to enhance model evaluation and transparency.

Lead the design and development of scalable, high-performance real-time data and API infrastructure to support AI applications. Mentor engineers, ensure system reliability, and collaborate across teams.

The Senior Software Engineer II, Machine Learning will design and deploy ML algorithms, work with consumer data, and lead data teams.