3 months ago
São Paulo, Brazil +4 moreSenior
Responsibilities
- Design, build, and maintain scalable machine learning models for logistics automation
- Own projects from problem definition and data exploration through production deployment and monitoring
- Collaborate with engineering teams to deliver ML-powered product features aligned with customer needs
- Provide technical leadership and mentorship within the ML area
- Review code and promote reproducibility, quality, and performance
- Evaluate and implement tools and frameworks to improve ML infrastructure and workflows
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 and knowledge of scikit-learn, PyTorch, TensorFlow, Pandas, and Spark
- Ability to own projects independently and connect models to measurable customer value
- Ability to guide and unblock teammates through code reviews and architectural feedback
- Experience working independently in a fast-paced, product-focused environment
- Experience with high-growth startups or small teams is a plus
- Familiarity with MLOps practices and tools is a plus
Benefits
- Remote-first and flexible work arrangement across North and South America
- Opportunities for meaningful impact at a profitable, rapidly growing company
- Investment in employee development and career growth
- Collaborative environment with ambitious and thoughtful teammates
Categories
Data EngineeringML Engineering
About Canals
Canals builds an AI-powered automation platform for distributors, integrating with existing ERP and back-office systems to handle sales order entry, accounts payable, purchasing, customer service, and receiving. It sells software that reduces manual processing and errors across distribution operations; the company is privately held and headquartered in Coral Gables, Florida. Over 100 distributors run on Canals, and the company has raised a Series A round.