Wearin' is an AI-powered technology company that enhances safety and operational efficiency for professionals in high-risk industries. Utilizing advanced wearable sensors, Wearin' connects field teams with decision-makers by providing real-time environmental, situational, and biometric insights. This capability empowers teams to make informed decisions quickly, ultimately aiming to protect lives and streamline business performance in sectors such as law enforcement, firefighting, and logistics.
IoT • wearables • sensors • biometrics • machine learning
March 19
Wearin' is an AI-powered technology company that enhances safety and operational efficiency for professionals in high-risk industries. Utilizing advanced wearable sensors, Wearin' connects field teams with decision-makers by providing real-time environmental, situational, and biometric insights. This capability empowers teams to make informed decisions quickly, ultimately aiming to protect lives and streamline business performance in sectors such as law enforcement, firefighting, and logistics.
IoT • wearables • sensors • biometrics • machine learning
• Será responsable de crear, implementar y dar seguimiento al desempeño de modelos de Machine Learning para facilitar, agilizar, prevenir y mejorar procesos. • Trabajar en el desarrollo, la puesta en producción y optimización de modelos de Machine Learning. • Determinar y modelar las problemáticas del negocio y generar las características y el objetivo del modelo. • Desarrollar APIs e implementar estrategias y prácticas para desplegar modelos predictivos en real-time. • Contribuir a la mejora continua del stack tecnológico, la calidad de los datos y el escalamiento del ecosistema de datos de la organización.
• Graduados o estudiantes de carreras de Ingeniería en Sistemas, Ingeniería en computación o afines. • Experiencia mayor a 4 años en implementación de soluciones con Machine Learning, adquirida preferentemente en industria Fintech con alcance regional y/o internacional. • Experiencia en lenguaje de programación Python con librerías como Scikit-Learn, Numpy, Pandas. • Conocimiento avanzado de Git / Github para CI/CD. • Experiencia en SQL y bases de datos no relacionales. • Conocimientos certificados y/o experiencia en AWS (EC2, S3, RDS, VPC, etc). • Experiencia en entrenamiento de modelos de Deep Learning. • Experiencia en Docker. • Conocimientos en Kubernetes. • Conocimiento en framework de Deep Learning en Python como Tensorflow, Pytorch, Keras. • Inglés técnico. • Buscamos personas organizadas, proactivas, con buenas habilidades para llevar con agilidad e involucrarse en diferentes proyectos, velando por el cumplimiento de nuestros objetivos. • Se valorará: Conocimiento en bases de datos vectoriales (Vector DB).
• Una cultura orientada al desarrollo de las personas, donde escuchamos e impulsamos las ideas de forma genuina, comprometidos con el respeto y la autenticidad de cada miembro de nuestros equipos. • Ambiente de trabajo flexible. • Más días de vacaciones. • Cobertura de medicina prepaga. • Programa de Bienestar. • Beneficios en plataformas de capacitación y aprendizaje. • Clases de inglés. • Cumple Flex. • Cuenta en Uruguay bonificada para ahorrar en dólares con el mejor tipo de cambio. • Trabajo remoto. • Oficina en CABA y espacios en coworks en el interior del país.
Apply NowFebruary 15
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