Top Tech Jobs & Startup Jobs in Toronto

The Engagement Manager will oversee multiple related projects, ensuring quality standards are met within time and budget constraints. Responsibilities include developing project plans, managing customer relations, providing guidance on services, reporting to customers, and collaborating with teams to mitigate issues. The role requires strong project management skills and the ability to navigate competing priorities.

The Senior ML OPS Engineer will architect and optimize ML inference platforms, collaborating with cross-functional teams and mentoring engineers. The role involves developing high-performance inference systems using machine learning and deep learning models, focusing on scalability and cost-effectiveness.

The Principal ML OPS Engineer will architect, build, and optimize ML inference systems, collaborate with teams to deliver engineering solutions, and provide mentorship to enhance team capabilities. Strong expertise in ML engineering and experience in production environments are essential.