Top Machine Learning Jobs in Calgary

As a Senior Machine Learning Engineer, you will build MLOps pipelines, integrate cloud technologies, manage data workflows, and optimize model deployment, collaborating across teams to innovate and enhance AI products.

The Staff Machine Learning Engineer will optimize and productionize ML models, collaborate with teams, and shape product direction at The Browser Company.

The ML Engineer will develop and integrate AI agents into a security platform, enhancing capabilities related to data protection and anomaly detection.

As a Senior Machine Learning Engineer, you will develop machine learning models and infrastructure to support AI products, ensuring security and performance.

The role involves building and maintaining large-scale distributed systems for ML development, collaborating with teams and resolving production issues.

Develop, design, and maintain advanced NLP applications and LLM projects for Poe, contributing to a scalable machine learning system and user features.

The Machine Learning Researcher will engage with LLMs to solve complex problems, conducting experiments, and iterating on solutions based on rigorous evaluations.

As a Founding Engineer, you will guide the technical direction and build GPU infrastructure for real-time AI, optimizing inference engines and engaging with customers.

As a Staff Machine Learning Developer, you will design and deploy scalable ML systems and collaborate with cross-functional teams to advance Unity's machine learning capabilities, focusing on high-scale ad-tech models and MLOps best practices.

The Solution Innovation Architect will design and implement AI/ML solutions using Snowflake, collaborate with client teams, and lead workshops for advanced use-cases.

The Machine Learning Engineer will lead device identification systems development, collaborate with teams for data optimization, and enhance algorithms for accuracy and compliance.

Design and deploy machine learning algorithms, work with large datasets, and provide leadership for data teams in various applications.

As a Machine Learning Engineer, you will develop and deploy large-scale ML models and algorithms, using data to automate processes such as image classification and speech recognition while collaborating with other technical professionals.

Lead the architecture and development of a high-performance AI/ML platform, mentoring teams and delivering scalable solutions in a hands-on leadership role.

Develop deep learning models for genomic data, collaborate with experts in drug discovery, and contribute to research publications and patents.

Lead the AI/ML platform development, design architecture, mentor teams, partner with stakeholders, and ensure quality and security in solutions.

As a Software Engineer (AI), you'll develop applications that utilize machine learning, particularly integrating large language models, while collaborating with backend and ML teams.

The Senior MLOps Developer will enhance data quality, automate model training, and monitor deployed models' performance while collaborating with various teams.

The role involves designing and building data-intensive backend systems for a multi-tenant data platform, ensuring data integrity and operational efficiency while collaborating with various teams.

The ML Performance Engineer will optimize and accelerate AI models' training and inference, focusing on kernel optimization, memory management, and performance profiling.

The ML Engineer will build and maintain infrastructure for Oumi's AI platform, focusing on scalability, performance, and open-source contributions.

Lead the evolution of test automation frameworks integrating AI/ML, optimize execution speed, mentor team members, and report on KPIs.

The Senior AI/ML Engineer will design and maintain machine learning algorithms, collaborate with engineering teams, implement CI/CD pipelines, and develop RESTful APIs while advocating for team decisions in a regulated environment.

The role involves developing autonomous AI products, working with LLM fine-tuning, integrating AI models, and staying current with AI advancements.