Senior ML Engineer - Remote, End-to-End Pipelines

Canals

Bogotá

On-site

COP 120,000,000 - 180,000,000

Full time

14 days+

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Job summary

Canals is seeking a senior-level Machine Learning Engineer to design, build, and maintain scalable ML models that automate logistics processes for our wholesale-distributor customers. You will own projects end-to-end from problem definition and data exploration to model deployment and monitoring in production.

Join a remote-first, fast-growing team, collaborate with engineering, and mentor others while driving real-world impact with AI at Canals.

Qualifications

  • Senior-level experience building and deploying machine learning models in production.
  • Experience designing scalable data pipelines and working with large datasets.
  • Strong Python skills with ML frameworks and data tools.
  • Ability to guide and unblock others, providing code reviews and architectural feedback.
  • Experience in fast-paced, product-focused environments.

Responsibilities

  • Design, build, and maintain scalable ML models for logistics processes.
  • Own projects end-to-end from problem definition to deployment and monitoring.
  • Collaborate with engineering to align ML work with customer needs and value.
  • Mentor and review code to ensure reproducibility, quality, and performance.
  • Evaluate tools and frameworks to improve ML infrastructure and workflows.
  • Help shape Canals' future as the company scales with customers.

Skills

Python
ML frameworks
Data pipelines
Code reviews
Leadership/mentoring

Tools

scikit-learn
PyTorch
TensorFlow
Pandas
Spark
MLOps

Job description

Canals is seeking a senior-level Machine Learning Engineer to design, build, and maintain scalable ML models that automate logistics processes for our wholesale-distributor customers. You will own projects end-to-end from problem definition and data exploration to model deployment and monitoring in production.

Join a remote-first, fast-growing team, collaborate with engineering, and mentor others while driving real-world impact with AI at Canals.

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