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Machine Learning Engineer - Enterprise

Toronto💼 Full-time🗓 2026-06-01 → 2026-09-26

Core

Developing and deploying groundbreaking enterprise AI solutions, integrating advanced language/voice/vision models, and building intelligent agentic systems.

Role type

Machine Learning Engineer (Enterprise AI & Agentic Systems)

Builds

Intelligent agentic systems, sophisticated AI workflows, and platforms integrating language/voice/vision models for enterprise clients.

Domain

Enterprise AI, Large Language Models (LLMs), Agentic Systems

Deliverable

production ML models | product features

Required skills

Model fine-tuning, agentic system architecture, language/voice/vision model integration, model behavior analysis, meticulous implementation, enterprise-grade reliability engineering

Preferred skills

Experience with cutting-edge AI research, autonomous task execution, complex data source integration

Technologies

Large language models, agentic frameworks, voice/vision model stacks

Responsibilities

Integrate advanced language/voice/vision models into enterprise workflows, develop and deploy agentic systems for autonomous task execution, pioneer innovative approaches for complex real-world business problems, contribute to the architecture of intelligent systems interacting with diverse data sources

Seniority

Mid-to-Senior, hands-on IC

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