Machine Learning Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 25%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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 • Own projects end-to-end from problem definition and data exploration through deployment and production monitoring • Collaborate with engineering teams to align ML work with customer needs • Deliver features that drive business value • 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 Canals as it scales with customers

🎯 Requirements

• Senior-level experience building and deploying machine learning models in production environments • Experience designing scalable data pipelines and working with large datasets • Experience owning projects and ensuring models deliver measurable customer value • Strong Python skills • Knowledge of ML frameworks such as scikit-learn, PyTorch, and TensorFlow • Knowledge of data tools such as Pandas and Spark • Ability to provide code reviews and architectural feedback • Experience working independently in a fast-paced, product-focused environment • Previous experience in high-growth startups or small teams is a plus • Familiarity with MLOps practices and tools is a plus

🏖️ Benefits

• Remote-first, flexible, and distributed across North and South America • Hiring and development investment • Opportunity to make a meaningful impact on company trajectory • Work alongside ambitious, thoughtful teammates • Equal opportunity employment