Design distributed systems and machine learning infrastructure in Montreal’s hybrid fintech startup environment, using Rust, C++, Python, or Golang. This Distributed Systems / ML Engineer role suits a robust Computer Scientist with 2–7+ years solving complex problems. You will develop algorithms, mathematical models, and ML systems for data-intensive challenges. The work spans system design, scalability, performance optimisation, and large-scale data. Key Responsibilities:

Design and scale high-throughput, low-latency distributed systems Develop algorithms, mathematical models,



and machine learning systems Own data and ML infrastructure from ingestion through monitoring Build scalable pipelines and real-time processing systems Move models from experimentation into production with engineers Requirements:

Two to seven-plus years solving complex problems Programming experience in Rust, C++, Python, or Golang Degree in computer science or another quantitative field Background in linear algebra, probability, statistics, or optimisation Understanding of distributed systems, scalability, and performance optimisation Apply distributed computing, machine learning, and mathematical modelling skills across critical systems in Montreal’s hybrid fintech environment.

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📌 Distributed Systems Machine Learning Engineer (Winnipeg)
🏢 Hunter Bond
📍 Winnipeg