Senior Machine Learning Developer
- Montreal, Canada
- Remote
- Senior Level
- 6+ years
- Posted
Skills
Required
- ML / LLM
- AI
- agents
- evaluation frameworks / simulations / production monitoring / ML platform tooling
- software or machine learning engineering
- Python
- software engineering
- voice / SIP / WebRTC
- Ray Serve
- Dagster
- LiveKit
- Vertex
- GCP
- Kubernetes
- Pulumi
Preferred
- CI
- technical reviews
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.
Responsibilities
- 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.
Requirements
- 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.
Pay
Base salary range: CAD 200,000 to CAD 250,000 annually.
Location
On-site in Montreal, Quebec, Canada.
