Machine Learning Engineer

4 weeks ago

Toronto, Ontario, Canada Wave HQ Full time
Unlock the Future of AI at Wave HQ

We believe small businesses are the backbone of our communities, and empowering them is worth fighting for. At Wave HQ, we're on a mission to revolutionize the way small business owners manage their finances. As a Senior Machine Learning Engineer, you'll play a pivotal role in shaping the future of our AI capabilities by combining traditional machine learning with cutting-edge Generative AI technologies.

Key Responsibilities:
  • Collaborate with cross-functional teams to develop and deploy both traditional ML models and GenAI systems, leveraging their complementary strengths to address Wave's business objectives.
  • Drive the automation and scalability of Wave's MLOps stack, supporting the scaling of production-ready ML models.
  • Design and build GenAI proofs-of-concept (PoCs), evaluating and deploying those that meet performance and business impact criteria into production.
  • Monitor the reliability of all deployed models, enhancing their observability and explainability to meet ethical and regulatory standards.
  • Mentor other engineers, sharing best practices for model development, deployment, and monitoring in both traditional ML and GenAI contexts.
Requirements:
  • 5+ years of experience in building and deploying production-grade machine learning systems.
  • Strong Python and SQL skills, with familiarity in containerization tools like Docker, and an understanding of secure model access via APIs.
  • Experience automating MLOps pipelines and deploying models for both batch and real-time inference.
  • A solid understanding of AI explainability, including experience with model interpretability techniques, observability, and monitoring to ensure performance and reliability.
  • An appreciation for both the opportunities and challenges associated with Generative AI, including the ability to identify risks, manage ethical considerations, and maintain a balanced approach to applying new technologies.
What We Offer:
  • A welcoming, energizing, and world-class office in Toronto, or the flexibility to work from home.
  • Fair compensation, all the office perks you'd want, and the various goodies you'd expect from a growing tech company.
  • A chance 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.

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