Líder Técnico – AI, Data
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Job Description
Líder Técnico (AI & Data) guiding AI and data solutions with strategic leadership. Leading multidisciplinary teams in data-driven projects with a strong focus on innovative AI products.
Responsibilities:
- Definir y supervisar la arquitectura técnica de productos de datos e inteligencia artificial.
- Liderar equipos multidisciplinarios en el desarrollo de soluciones de IA, incluyendo modelo de aprendizaje automático, procesamiento de lenguaje natural, Detección de anomalias y patrones
- Colaborar con stakeholders para comprender las necesidades del negocio y traducirlas en soluciones técnicas efectivas.
- Garantizar la calidad del código y las mejores prácticas de desarrollo mediante revisiones y mentoría.
- Implementar y optimizar pipelines de datos para soportar modelos de IA en producción.
- Supervisar y diseñar arquitecturas en productos de Software que integren modulos de inteligencia artifical
- Mantenerse actualizado con las últimas tendencias y tecnologías en el ámbito de la inteligencia artificial y los datos.
Requirements:
- Mínimo 5 años de experiencia técnica liderando proyectos de analítica avanzada, ciencia de datos o productos basados en IA.
- Experiencia en diseño e implementación de soluciones de detección de anomalías y patrones de comportamiento, especialmente en contextos de riesgo o fraude.
- Sólido conocimiento en machine learning supervisado y no supervisado (regresión, árboles, clustering, SVM, boosting, etc.).
- Conocimiento en teoría de grafos aplicada a detección de comunidades, relaciones entre entidades y análisis de redes complejas.
- Implementación de pipelines de ML/IA en producción, incluyendo monitoreo y retraining automatizado.
- Experiencia en desarrollo de modelos de detección de fraude, scoring de riesgo, o uso de modelos basados en comportamiento transaccional.
- Experiencia diseñando e implementando microservicios y arquitecturas orientadas a eventos.
- Experiencia en bases de datos relacionales (ej. SQL Server, PostgreSQL) y NoSQL (ej MongoDB, Neo4j).
- Experiencia implementando soluciones multicloud en Azure y AWS; experiencia en GCP es deseable.
- Integraciones de sistemas mediante API RESTful, GraphQL y mensajería asincrónica (Ej. Kafka, RabbitMQ, Azure Service Bus).
Benefits:
- Posibilidades de crecimiento técnico y formación continua.
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