Machine Learning Engineer

The role

A senior-level Machine Learning Engineer will design, build, and maintain scalable machine learning models to automate logistics processes. This role involves owning projects end-to-end from problem definition to production deployment.

What you will do

• Design, build, and maintain scalable machine learning models.
• Own projects end-to-end from problem definition to model deployment and monitoring.
• Collaborate with engineering teams to align ML work with customer needs.
• Serve as a technical leader and mentor within the ML area.
• Review code and ensure best practices for reproducibility, quality, and performance.
• Evaluate and implement tools and frameworks to improve ML infrastructure and workflows.
• Help shape the future of Canals.

Required qualifications

• Senior-level experience building and deploying machine learning models in production environments.
• Experience designing scalable data pipelines and working with large datasets.
• Comfort taking ownership of projects and ensuring models deliver customer value.
• Strong Python skills.
• Knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
• Knowledge of data tools (e.g., Pandas, Spark).
• Ability to guide and unblock others through code reviews and architectural feedback.
• Experience working independently in a fast-paced, product-focused environment.

Nice to have

• Previous experience in high-growth startups or small teams
• Familiarity with MLOps practices and tools

About the company

Canals builds software for wholesale distributors to help them operate more efficiently through automation and AI. The company is a profitable, rapidly growing team of roughly 140 people distributed across North and South America.