Machine Learning Engineer

Role overview Develop machine learning models and the data pipelines that support them, carrying the work through deployment and ongoing operation. The scope includes predictive and computer vision applications, with a focus on measuring model performance and improving it in production.

Responsibilities - Build predictive models and computer vision models for applied use cases. - Create the data and feature pipelines needed to prepare model inputs. - Deploy models and monitor them using machine learning operations practices. - Track model performance and make improvements based on observed results.

Requirements - At least three years of applied machine learning experience. - Python proficiency and experience with PyTorch or TensorFlow and scikit-learn. - Experience with MLOps and cloud environments. - An analytical, pragmatic approach to solving problems.

Benefits and work setup - Full-time role, based in Casablanca or remote.