Machine Learning Engineer

🕒 July 14

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 30%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Canals

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

Artificial Intelligence • Enterprise • Distribution

Canals is an AI-driven tool designed to enhance efficiency in distribution and order processing for sales, accounting, and procurement teams. It automates tasks like sales order entry and invoice processing, transforming customer emails into actionable quotes and orders without the need for templates. Canals is built specifically for various distribution verticals including electrical, plumbing, HVAC, and industrial sectors, helping teams save time and increase accuracy in their workflows. As users engage with the platform, the AI continues to improve its performance and adapt to specific business needs, ensuring better service for customers and vendors alike.

📋 Description

• 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.

🎯 Requirements

• Senior-level experience building and deploying machine learning models in production environments. • Experience designing scalable data pipelines and working with large datasets. • Strong Python skills with knowledge of ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and data tools (e.g., Pandas, Spark). • Ability to guide and unblock others, providing thoughtful code reviews and architectural feedback. • Familiarity with MLOps practices and tools is a plus.

🏖️ Benefits

• We're a profitable, rapidly growing company • We care deeply about building great products • We invest heavily in hiring, development, and creating an environment where talented individuals can do the best work of their careers.