Sr Machine Learning Engineer - Labs & Science Kit

Evolve the ML Toolkit by designing and maintaining services, data profiling tools, and foundational model libraries. Develop robust microservices in Python to enable data flows, training, inference, and model operations in production. Integrate solutions with messaging capabilities, KVS storage, streaming, databases, and large-scale data processing.

Experience in backend development with Python focused on ML Engineering and MLOps. Practical knowledge of the Data Science and Machine Learning stack. Mastery of experimentation concepts, model validation, evaluation metrics, and best practices for deploying models.

Hybrid work modality. The position is based in Colombia, specifically in Bogotá and Medellín.