Federico Bergantiños

Machine Learning Engineer @Kueski

MX

Main Duties:\\\\n- Perform code reviews to team members\\\\n- Build scalable feature engineering\\\\n- Help data scientists serve their features reliably both offline and in production.\\\\n- Work on the development, deployment and maintenance of machine learning pipelines.\\\\n- Collaborate with data scientists, to generate a deep understanding of the lifecycle of their projects.\\\\n- Work closely with the Data Engineering team building data pipelines.\\\\n- Understand the work of other team members and provide feedback.\\\\n- Enable data scientists to safely deploy new versions of their existing models and machine learning pipelines.\\\\n- Collaborate with data scientists to design, develop and maintain QA processes for machine learning models, pipelines and infrastructure.\\\\n- Help data scientists serve previously nonexistent models.\\\\n- Participate in the design and maintenance of our machine learning architecture.\\\\n- Design, create and maintain REST APIs to serve machine learning models, and microservices related to our decision engines.\\\\n- Create and maintain infrastructure to enable the work of data scientists.\\\\n- Implement decisioning logic related to our machine learning models in production (e.g: cut points based on client segments).\\\\n- Implement monitoring tools for the operation of production models.\\\\n \\\\n\\\\n \\\\n \\\\n\\\\n \\\\n

UADE

Bachelor, Information Technology Management