Senior Machine Learning Engineer

4 weeks ago

Toronto, Ontario, Canada WAVE Full time
About the Role At Wave, we're looking for a highly skilled Senior Machine Learning Engineer to join our team. As a Senior Machine Learning Engineer, you will play a key role in shaping the future of our AI capabilities by combining traditional machine learning with cutting-edge Generative AI technologies. Key Responsibilities * Develop, scale, and maintain production-grade ML models while applying innovative GenAI approaches to solve customer and business challenges. * Collaborate with product and technical teams to develop and deploy both traditional ML models and GenAI systems, leveraging their complementary strengths and pooling your expertise 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. * Contribute to the development of a unified API to provide secure, scalable, and reliable access to AI models, empowering cross-functional teams to integrate AI into their products and services. 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. * Familiarity with AWS cloud services, including SageMaker, Amazon Bedrock, and Amazon Q. * Experience automating MLOps pipelines and deploying models for both batch and real-time inference. * Hands-on expertise in developing GenAI proofs-of-concept and taking them through to production, as well as experience scaling traditional ML models for production at scale. * A solid understanding of AI explainability, including experience with model interpretability techniques, observability, and monitoring to ensure performance and reliability. * Familiarity with applying FinOps concepts to optimize cloud resources, reduce costs, and ensure the efficient scaling of AI models. * 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 collaborative and inclusive work environment that values diversity and individuality. * Opportunities for growth and development, including training and mentorship programs. * A comprehensive benefits package, including health and wellness benefits, retirement savings, and paid time off. * A competitive salary and bonus structure. If you're a motivated and experienced Senior Machine Learning Engineer looking for a new challenge, we encourage you to apply. Please submit your resume and a cover letter explaining why you're the ideal candidate for this role.

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