Framework Science is on a MISSION that focuses on Exploring new technologies and building tomorrow's Applications. This means we hire TOP Engineers and Designers by providing great benefits and pay so they can focus on solving what's never been solved before. Our aim is to push the needle of innovation while enabling Technical staff to impact code or products at the architecture level. Work with very bright individuals and prosper economically for the value you bring to the table. Our culture is driven by putting our Engineers first with Work-life balance and an environment that sparks the imagination.Join us as we dare to Explore the Unknown!Where do we come from?Broadcom, Yahoo, Sony, Samsung, Thermo Fisher, Blackbaud, and many well-known tech companies.**Job description**:**Requirements**:- Knowledge of python libraries like fitz, re, nltk, spacy.- Interest in Natural Language Processing (NLP), computer vision and machine learning in general.- Critical thinking, good analytical skills, logical thinking and good working memory.- Able to listen and stay focused during conversations and coding.- Curious and an independent learner.- Good communication skills in Spanish and English.- Enthusiastic and willing to grow both professionally and personally.**Objectives**:- Develop Python scripts to automate processes related to machine learning.- Prepare basic prototypes of machine learning models.- Measure and compare the accuracy of various machine learning models.- Prepare annotations manually and automatically.- Compare files.- Get data from the internet to create datasets to train machine learning models.- Write documents in English.- Daily task report in JIRA.**Must haves**:- 2 years of programming experience (e.G. python, C, C++).- Bachelor's degree in electronics engineering, mechatronics engineering, computer science, mathematics or physics.- Understanding of statistical concepts.- Interest in learning python, machine learning, artificial intelligence and statistics.- Interest in starting a professional career as a data scientist.- Responsible and punctual.
