Top Machine Learning Jobs in Ottawa

Lead the design and integration of Generative AI solutions in Firefox, manage projects, optimize models, and collaborate with cross-functional teams.

The Machine Learning Engineer will develop models, create LLMs, collaborate cross-functionally, and work with structured and unstructured data to enhance customer experiences.

The Senior Machine Learning Engineer will develop advanced ML models, collaborate across teams, and enhance customer efficiency through innovative solutions in a hybrid work environment.

Design, develop, and deploy advanced machine learning models for generative tasks, working collaboratively in a team to implement cutting-edge AI solutions.

The QA Engineering Lead will oversee quality assurance processes, mentor the QA team, and implement best practices to ensure high-quality software delivery.

The Senior Software Engineer will discuss and research features, write code and documentation, and engage with the community on platforms like GitHub and Discord. Strong Python skills and excellent communication are essential.

Lead a team in building data pipelines for AI applications, fostering an inclusive culture and mentoring team members. Ensure the delivery of solutions adhering to Agile principles and manage partnerships across organizations.

As a Principal Machine Learning Engineer, you will develop machine learning models, optimize performance, manage deployment, and lead AI innovations for Autodesk's ecommerce platform.

The AI Machine Learning Engineer will architect and build personalization models for user experience, involving DNN and LLM technologies, while collaborating with product managers to deliver high-quality outputs.

The Associate, ML Engagement Management will oversee program execution phases, design and document requirements, build customer relationships, and ensure project success.

The role involves designing, implementing, and deploying perception algorithms for robots, integrating sensor technologies, and collaborating on AI systems.

As a Machine Learning Engineer, you will design and implement scalable ML pipelines, develop machine learning solutions for network security challenges, and collaborate with data scientists and security experts.

Assist senior ML engineers in researching, building, and deploying machine learning models, working with various data types while contributing to code reviews and technical discussions.

As a Software Engineer, you will design and implement tools and pipelines for AI autonomy systems, working with large datasets and collaborating with scientists and engineers.

Responsible for leading the ML engineering team, developing and maintaining ML infrastructure, and collaborating on model development to drive insights.

The role involves designing and implementing infrastructure for training and deploying deep learning models in self-driving trucks, optimizing performance, and collaborating across teams.

The Machine Learning Engineer will develop, train, and deploy ML models, optimizing performance and maintaining efficient ML pipelines in a collaborative environment.