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Clera

Senior Machine Learning Developer

Montreal · Remote · FullTime · Engineering

CA$200K – CA$250K

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About the role

Machine LearningLLMsCADMentoringPythonGCPKubernetesObservability
ABOUT THE ROLE Build and operate conversational AI systems that handle customer interactions over phone and SMS. This role spans product and ML platform work, from developing LLM-powered features to creating the tooling and evaluation systems that help teams deliver reliable production experiences. WHAT YOU'LL DO - Build conversational AI systems that understand customer needs, take action, and escalate when appropriate. - Develop agent memory, knowledge graph, and customization tools to help systems adapt to different workflows. - Train, evaluate, and deploy models for prediction, classification, ranking, and capacity forecasting. - Create offline and online evaluations, simulations, and CI checks to detect regressions and measure production quality. - Build shared ML and LLM infrastructure for model serving, evaluation, observability, and product development. - Monitor and maintain production models and agents, and improve them based on measured results. - Contribute to technical reviews, documentation, and mentorship across engineering teams. WHAT WE'RE LOOKING FOR - At least 6 years of software or machine learning engineering experience, including a track record of shipping and operating ML or LLM systems in production. - Strong Python skills and software engineering fundamentals, including writing reliable, maintainable, and testable code. - Experience building conversational AI for phone or SMS, or related real-time and streaming systems such as voice, SIP, or WebRTC. - Hands-on experience training and deploying ML models, or building LLM systems with prompting, tool use, agents, or retrieval. - Experience with evaluation frameworks, simulations, production monitoring, or ML platform tooling. - Familiarity with tools such as Ray Serve, Dagster, LiveKit, Vertex AI, GCP, Kubernetes, Pulumi, and AI provider APIs. - Comfort taking ownership from problem definition through production, working with ambiguity, and supporting teammates through reviews and mentorship. COMPENSATION & BENEFITS Base salary range: CAD 200,000 to CAD 250,000 annually. LOCATION On-site in Montreal, Quebec, Canada.