Machine Learning Engineer
hace 6 meses
**Sobre nosotros**:
En ORBIDI buscamos a apasionados por la tecnología y el marketing para unirse a nuestro equipo y ayudar a las pequeñas empresas a crecer y mantenerse competitivas en el mercado.
Utilizamos inteligencia artificial, modelos predictivos y tecnologías avanzadas para ayudar a las PYMEs a digitalizarse y mejorar sus resultados. Únete a nuestra misión de ayudar a las empresas a impulsar el éxito
**El rol**:
- Diseñar y desarrollar modelos de aprendizaje automático y algoritmos de inteligencia artificial.
- Analizar y procesar grandes conjuntos de datos para identificar patrones y tendencias.
- Implementar procesos de aprendizaje automático y optimización de algoritmos.
- Colaborar con equipos de ciencia de datos y desarrollo de software para integrar soluciones de ML en aplicaciones y sistemas.
- Realizar pruebas y ajustes para mejorar la precisión y eficiencia de los modelos.
- Mantenerse actualizado con las últimas tendencias y desarrollos en aprendizaje automático e inteligencia artificial.
- Trabajar con tecnologías de OpenAI, incluyendo la personalización y afinación de modelos (fine tuning) y el uso de Lang Chain.
- Documentar y presentar resultados de investigación y desarrollos a equipos no técnicos.
**Lo que te hará triunfar**:
- Título en Ciencias de la Computación, Estadística, Matemáticas, Ingeniería o un campo relacionado.
- Profundo conocimiento en técnicas de aprendizaje automático, procesamiento de lenguaje natural, y análisis predictivo.
- Experiência con herramientas y lenguajes de programación como Python, R, SQL, TensorFlow, PyTorch.
- Experiência específica en el trabajo con plataformas de OpenAI.
- Mínimo 3 años de experiência en roles relacionados con aprendizaje automático o ciencia de datos.
- Experiência demostrable en el uso de tecnologías de OpenAI, incluyendo la personalización y afinación de modelos (fine tuning) y el uso de Lang Chain.
**Se valorará positivamente**:
- Fuertes habilidades analíticas y de resolución de problemas.
- Capacidad para trabajar en equipos multidisciplinarios.
- Excelentes habilidades de comunicación y presentación de datos complejos de manera comprensible.
- Curiosidad y entusiasmo por la tecnología y la innovación.
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