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.

WHAT WILL YOU DO?

• Design, develop, and maintain machine learning models integrated into products used in educational and LMS environments.
• Maintain and improve existing ML-based solutions, while designing and implementing new ones aligned with product and user needs.
• 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.
• Document progress and communicate results clearly to both technical and non-technical stakeholders.

WHAT WILL MAKE YOU SUCCEED IN THIS POSITION?

• 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.
• Experience collaborating in product-driven environments, ideally with cross-functional teams.
• Fluency in Spanish and English.

TECHNICAL SKILLS

• 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.

SOFT SKILLS

• Strong analytical and problem-solving mindset.
• Curiosity and interest in applying machine learning to real-world user problems.
• Ability to communicate complex ideas clearly across technical and non-technical teams.
• Proactive attitude and ownership of end-to-end solutions.
• Collaborative mindset, working effectively across Product and Engineering teams.

NICE TO HAVE

• Experience working with LMS platforms or educational technologies.
• Experience in NLP, symbolic systems, or structured data (especially math-related).
• Exposure to MLOps practices.
• Familiarity with Agile methodologies.

WHAT DO WE OFFER YOU?

• Competitive salary aligned with experience.
• Flexible working hours and hybrid work environment.
• Learning and development opportunities.
• International and collaborative work environment.

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