Canals AI is looking to scale its operations and deliver more value to its customers by leveraging AI. The company needs a Machine Learning Engineer to design, build, and maintain scalable ML models that automate and improve logistics processes, ultimately driving business value and customer satisfaction.
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).
- Familiarity with MLOps practices and tools is a plus.
Responsibilities
- 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.
- Evaluate and implement tools and frameworks to improve our ML infrastructure and workflows.
- Help shape the future of Canals as we continue scaling with our customers.
Other
- Comfort taking ownership of projects and ensuring models deliver real, measurable customer value.
- Ability to guide and unblock others, providing thoughtful 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.
- Opportunity to grow while staying close to technical work, including potential for ML leadership as we scale.
