(Senior) Machine Learning Engineer

If you are passionate about building and scaling machine learning solutions in real-world products, and you’re excited about applying AI to improve learning experiences, keep reading. Our client is a growing international technology company that develops software solutions integrated into major learning platforms (LMS) and used by millions of users worldwide. This is a great opportunity to join them as a Senior Machine Learning Engineer and contribute to the evolution of intelligent features within their product ecosystem. Design, develop, and maintain machine learning models integrated into products used in educational and LMS environments. Develop, train, and evaluate deep learning algorithms to enhance user experience, content interaction, and learning outcomes. Collaborate closely with Product and Engineering teams to understand user behavior and business requirements, translating them into scalable ML solutions. Define and implement metrics to measure the performance and impact of ML features in real product usage. Contribute to the deployment of models into production and monitor their performance in real-world environments. Run experiments and iterate on models to continuously improve accuracy, performance, and user impact. Bachelor’s or Master’s degree in Engineer, Mathematics, Data Science, or a related field. ~5+ years of experience in Machine Learning, Data Science, or similar roles. ~ Experience working with machine learning solutions in production environments (beyond research). ~ Strong ability to connect machine learning solutions with real user and product impact. ~ Fluency in Spanish and English. Strong experience with deep learning frameworks such as PyTorch, TensorFlow, Hugging Face, or similar. Solid Python programming skills, with experience building and maintaining ML pipelines. Understanding of RESTful APIs and integration of ML models into software products. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Experience or exposure to model deployment and monitoring in production environments. Curiosity and interest in applying machine learning to real-world user problems. Collaborative mindset, working effectively across Product and Engineering teams. Experience in NLP, symbolic systems, or structured data (especially math-related). Familiarity with Agile methodologies. Flexible

working hours
and hybrid work environment.