Machine Learning Engineer

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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.