About Canals
Canals builds software for wholesale distributors, helping them operate more efficiently through automation and AI.
Our customers are the companies responsible for moving the materials that power the real economy; electrical supplies, plumbing products, roofing materials, HVAC equipment, and more. Every day, thousands of people rely on Canals to help process orders, manage purchasing, handle accounts payable, and streamline critical business workflows.
We're a profitable, rapidly growing company with a team of roughly 100 people distributed across North and South America. We care deeply about building great products, hiring exceptional people, and creating an environment where talented individuals can do the best work of their careers.
The Role
Our customer base is expanding fast, and AI is central to how we scale and deliver value. We’re looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world impact.
What You’ll Do
Design, build,



and maintain scalable machine learning models that improve and automate logistics processes for our customers.
Own projects end-to-end, from problem definition and data exploration to model deployment and monitoring in production.
Collaborate closely with engineering teams to align ML work with customer needs and deliver features that drive business value.
Serve as a technical leader and mentor within the ML area, reviewing code and ensuring best practices for reproducibility, quality, and performance.
Evaluate and implement tools and frameworks to improve our ML infrastructure and workflows.
Help shape the future of Canals as we continue scaling with our customers.
What You'll Bring
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

📌 Machine Learning Engineer (Bogotá)
🏢 Canals
📍 Bogotá