jobapplier

Senior Machine Learning Developer

Clera

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.