Technical Manager Ai Architect
hace 5 días
Empresa multinacional líder en el sector farmacéutico está en búsqueda de un AI Technical Manager para diseñar arquitecturas y soluciones de inteligencia artificial end-to-end basadas en requisitos comerciales.
**Responsabilidades**:
- Seleccionar algoritmos, marcos y tecnologías de inteligencia artificial apropiados para lograr los resultados deseados.
- Analizar y evaluar la calidad de los datos disponibles para el entrenamiento de modelos de inteligencia artificial.
- Trabajar con ingenieros de datos para garantizar un preprocesamiento, limpieza y ingeniería de características adecuados de los datos.
- Colaborar con desarrolladores de software y equipos de TI para integrar modelos de inteligencia artificial en sistemas o aplicaciones existentes.
- Garantizar una comunicación fluida entre los componentes de inteligencia artificial y otro software.
- Diseñar soluciones de inteligencia artificial que puedan escalar para manejar grandes conjuntos de datos y cargas de usuarios.
- Optimizar algoritmos y modelos para el rendimiento, considerando los requisitos de procesamiento en tiempo real y por lotes.
- Abordar preocupaciones de seguridad relacionadas con aplicaciones de inteligencia artificial, incluida la privacidad de datos y la vulnerabilidad del modelo.
- Asegurar el cumplimiento de regulaciones relevantes y estándares de la industria.
- Crear documentación completa para la arquitectura de inteligencia artificial, incluyendo decisiones de diseño, especificaciones de modelos y pautas de integración.
- Proporcionar capacitación a los equipos internos sobre tecnologías y mejores prácticas de inteligencia artificial.
- Evaluar y adoptar nuevas herramientas y marcos que puedan mejorar las capacidades de inteligencia artificial de la organización.
**Requisitos**:
- Amplios conocimientos en informática, machine learning, o un campo relacionado.
- Experiência en el diseño e implementación de soluciones de inteligencia artificial.
- Dominio de lenguajes de programación como Python, y familiaridad con bibliotecas y marcos relevantes (por ejemplo, TensorFlow, PyTorch).
- Conocimiento de plataformas y servicios de computación en la nube.
- Fuertes habilidades analíticas y resolución de problemas.
- Excelentes habilidades de comunicación y colaboración.
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