about 4 hours ago
São Paulo, Brazil +4 moreSenior
Responsibilities
- Design, build, and maintain scalable machine learning models for logistics processes.
- Own projects end-to-end, from problem definition to model deployment and monitoring.
- Collaborate with engineering teams to align ML work with customer needs.
- Serve as a technical leader and mentor, reviewing code and ensuring best practices.
- Evaluate and implement tools to improve ML infrastructure and workflows.
- Help shape the future of Canals as the company scales.
Requirements
- Senior-level experience in building and deploying machine learning models in production.
- Experience designing scalable data pipelines and working with large datasets.
- Strong Python skills with knowledge of ML frameworks like scikit-learn, PyTorch, and TensorFlow.
- Ability to guide and unblock others through code reviews and architectural feedback.
- Experience in fast-paced, product-focused environments.
- Familiarity with MLOps practices and tools is a plus.
Benefits
- Remote-first and flexible work environment.
- Opportunities for meaningful impact in a rapidly growing company.
- Investment in hiring and development for employee growth.
- Collaborative and fun team culture.
Tech Stack
Categories
AI & MLData Engineering