You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologies to Fortune 500 companies looking to scale their engineering and data capabilities.
We’re looking for Machine Learning Engineers who are passionate about building cutting-edge systems with LLMs and real-world data. In this role, you’ll work closely with clients and teammates to design, prototype, and productize scalable machine learning solutions.
You’ll be part of a collaborative, high-performing team that values clear thinking, pragmatic execution, and continuous learning. If you thrive in fast-paced environments, enjoy tackling open-ended problems, and care deeply about the quality and impact of your work, we’d love to connect.
We have competitive compensation.
We believe in accountability and NOT micro-management.
Designs, deploys, and integrates scalable AI/ML models and data-driven applications for predictive analytics, forecasting, and business process automation across enterprise platforms and workflows.
Develop and optimize machine learning models and data pipelines, integrate models into applications, and support deployment, monitoring, testing, and continuous improvement with cross-functional Agile teams.
Develops and productionizes machine learning and GenAI solutions, improving data pipelines and existing code while collaborating across data and application teams to deliver reliable, scalable capabilities.
Develop scalable methods and data pipelines to curate fleet-scale driving data, uncover safety-critical scenarios, and build benchmarks that improve autonomous driving and foundation models.
Build and scale machine learning infrastructure, models, and AI platforms, with a focus on voice and speech use cases, enabling product teams to deliver reliable, customer-facing AI features.
