Top Machine Learning Jobs in Calgary

The Senior ML Engineer will enhance batch and real-time machine learning services, develop tools for modeling workflows, and collaborate with cross-functional teams to drive strategic priorities. They will focus on improving agent productivity through advanced technologies and support the Financial Crimes Technology team by detecting and reporting suspicious activities.

As a Senior Machine Learning Engineer, you will develop and deploy advanced robotic manipulation techniques, focusing on behavioral cloning and reinforcement learning. You will collaborate with software and hardware teams to enhance robotic control and planning. The role requires staying current with advancements in robotics and implementing scalable solutions for autonomous systems.

As a Senior Machine Learning Engineer at Radiant Security, you will design and develop scalable ML solutions for SaaS applications. You will collaborate with data scientists, manage ML lifecycle, ensure efficient model serving, and maintain data integrity, while keeping up with the latest technologies to enhance outcomes.

The role involves leading ML and MLOps initiatives, designing and deploying solutions on AWS while ensuring architecture governance and managing complex model/data pipelines to support Data Scientists. Strong communication and collaboration skills are essential to work with stakeholders and present technical information effectively.

The ML Data Engineer will develop and maintain feature engineering pipelines using Databricks, manage ETL processes, and ensure optimized data quality and performance. Responsibilities include supporting the ML lifecycle, designing low-latency data pipelines, and collaborating with teams to align data transformation efforts with business needs.

As a Software (ML Product) Engineer at iterative.ai, you will enhance user workflows for DVC, collaborate with technical product managers, and improve MLOps practices within ML teams. Responsibilities include optimizing the tool’s usability and driving projects like dvclive, emphasizing software engineering skills and communication.

The Senior Data Scientist will focus on developing Machine Learning models for pricing strategies and product recommendations, optimizing consumer experiences through scalable data pipelines, and collaborating with various teams to measure effectiveness of these models through controlled experiments.

The Senior Data Scientist will design and implement cutting-edge ML models for consumer pricing and recommendations, develop data pipelines, and collaborate with cross-functional teams to optimize consumer journeys. Responsibilities include creating algorithms, conducting experiments to validate solutions, and maintaining feature stores for scalability and performance.

As Head of Data Science, you will lead all aspects of data science including statistical methods and data analytics. You will oversee a team of data scientists, manage large complex datasets, and collaborate with product managers and engineering. Your role will enhance data-driven insights to inform decisions and drive product improvements.

As an AI Engineer at Kira Learning, you will enhance the student learning experience by developing features like autograding and personalized learning tools. You will also collaborate with design and product teams to ensure projects meet user needs and are efficiently executed, while maintaining high code quality.

The Fractional CTO will lead AI-focused projects, manage technical teams in startups, and oversee AI model development and deployment. Responsibilities include project scoping, cost estimation, and product road mapping, as well as providing expert guidance to minimize risk and costs for startups.

The AI Experience Architect will lead the design and development of AI-driven interactive experiences, focusing on user engagement through storytelling and innovative technology. Responsibilities include conceptualizing and executing applications, optimizing machine learning models, and collaborating with various teams to ensure brand alignment and user-centric designs.

As a Software Engineer on the AI Decisioning team, you will design and build scalable backend systems and ML infrastructure, develop AI-driven features for decision automation, and collaborate with machine learning engineers to implement innovative techniques.

As a Staff Machine Learning Engineer at Fakespot, you will apply machine learning techniques to analyze unstructured data, develop and optimize machine learning models, and collaborate with teams to enhance product features. Your focus will be on ethical AI and improving the trustworthiness of eCommerce through model deployment and monitoring.

As a Staff Machine Learning Engineer, you will lead the design and development of Generative AI solutions for Firefox, build infrastructure for model training and inference, and implement robust validation processes. You will collaborate with product management and engineering teams to enhance Firefox's AI capabilities.

The role involves developing scalable batch processing systems within the Apache Hadoop ecosystem, managing Machine Learning pipelines, and utilizing GCP for data processing. The engineer will implement DevOps best practices and collaborate effectively in a remote environment.

The Staff Data Engineer will design and implement scalable data pipelines and systems to solve complex problems involving data, machine learning, IoT, and cloud infrastructure. This role includes contributing to enterprise architecture and collaborating with engineers to propose technical solutions that integrate with ecobee’s broader systems.