Senior Machine Learning Engineer

As a Senior Machine Learning Engineer at Wave, you will help shape the future of our AI capabilities by combining traditional machine learning with cutting-edge Generative AI technologies. You'll be responsible for developing, scaling, and maintaining production-grade ML models while applying innovative GenAI approaches to solve customer and business challenges. This role offers an opportunity to work with a modern, cloud-native data and AI stack, where traditional ML systems and emerging GenAI solutions coexist to deliver secure, reliable, and scalable AI services at Wave, in close collaboration with cross-functional teams.

Key responsibilities include:

1. Collaborative AI Development: Work with product and technical teams to develop and deploy both traditional ML models and GenAI systems.
2. MLOps Automation and Scalability: Drive automation and scalability of Wave's MLOps stack, supporting production-ready ML models.
3. GenAI Solutions: Design and build GenAI proofs-of-concept, evaluating and deploying them into production.
4. Unified API Development: Contribute to developing a unified API for secure, scalable access to AI models.
5. Model Reliability, Compliance, and Risk Mitigation: Monitor model reliability, enhance observability and explainability, and mitigate risks associated with AI systems.
6. Mentorship and Best Practices: Mentor other engineers, sharing best practices for model development, deployment, and monitoring.

Wave offers continuous learning opportunities, the freedom to define your path to success, and values diverse perspectives in an inclusive environment. They provide the option to work remotely or collaborate in their downtown Toronto innovation hub.