Sales - Solutions Specialist Data & AI

hace 3 semanas


España Prodware A tiempo completo

Resumen
En Prodware nos encontramos en un periodo de fuerte crecimiento y estamos buscando gente como tú para que formes parte de nuestro equipo de especialistas.
Prodware España es el partner tecnológico de referencia para la implantación de soluciones basadas en Microsoft Dynamics 365, F&O, PP, CE, BC, O365, Power BI.
Con más de 20 años de experiencia ofreciendo a nuestros clientes servicios de consultoría tecnológica, contamos con la plantilla de especialistas más consolidada de España.
Como parte de este crecimiento, estamos buscando incorporar un/a Solutions Specialist Data & AI ubicado/a en España, que combine pasión por la tecnología, audacia y confianza.
Qué te ofrecemos?

Plan de Carreras para potenciar tu talento y crecer en Prodware. Tendrás acceso a certificaciones de Microsoft
Programa de formación y aprendizaje continuos.
Posibilidad de trabajar de forma remota.
Flexibilidad horaria.
Todos los viernes jornada intensiva
Julio y agosto disfrutarás de todas las tardes libres
Retribución flexible.
Eventos de empresa. Nos gusta divertirnos
Podrás asistir a eventos organizados por Microsoft.

Buen ambiente de trabajo, abierto e inclusivo.
Tenemos un gran desafío de crecimiento por delante y estamos dispuestos a recorrer ese camino contigo. Somos conscientes que esto no lo conseguiremos sin las personas de nuestro equipo
Te unes a nosotros?
Responsabilidades

Cualificación, preparación y liderazgo de propuestas comerciales.
Gestión de leads y de oportunidades en el ámbito de conocimiento de tecnologías Big Data, Advanced Analytics, AI, ML y IoT.
Garantizar el proceso de desarrollo de las oportunidades como venta colaborativa hasta el cierre y gestionando la oportunidad como un proyecto.
Participar en el desarrollo de Soluciones IP propias para la implementación de PoC’s y entornos de Demo.
Realizar demostraciones a clientes de soluciones y servicios relativos a sus ámbitos tecnológicos.
Presentación del portfolio de servicios y soluciones Data, AI & Cloud de la compañía.

Requisitos
Qué conocimientos requerimos?

Más de 5 años de experiencia en la definición e implementación de servicios y soluciones de infraestructuras tecnológicas en un entorno de consultoría.
Al menos 2 años de experiencia en procesos relevantes de preventa para el diseño y creación de soluciones tecnológicas innovadoras relativas a Big Data, AI, ML, Cloud, IoT, AR/VT, así como en la integración de estas tecnologías con las herramientas líderes de Business Intelligence.
Conocimiento profundo del cloud de Microsoft (Azure).
Al menos 2 años de experiencia en la definición de arquitecturas Big Data sobre el cloud de Azure basadas en la gestión y transformación de los datos (batch, real-time, stream analytics) con servicios tales como Azure Data Factory, HDInsights, Azure Databricks, Azure Synapse Analytics, Azure Cognitive Services, Azure ML, así como en la identificación de las soluciones más adecuadas en cuanto al almacenamiento de los datos (Blob Storage, Azure Data Lake Storage, SQL Database, CosmosDB).
Capacidad y experiencia en la identificación de arquitecturas óptimas en Azure orientadas a IaaS, PaaS y SaaS.
Se valorará positivamente la experiencia con herramientas novedosas (Azure Synapse, Azure Purview), integraciones con Databricks y gestión del código con DevOps.
Estar actualizado en AI y tecnologías IoT.

Valorable :

Más de 3 años de experiencia con el desarrollo de productos enfocados en prácticas modernas de desarrollo de software, incluido el trabajo Agile y DevOps, MLOps.
Conocimientos sólidos en el paradigma MLOps que permite desarrollar modelos de servicios y proyectos para operar, automatizar y agilizar el ciclo de vida de los modelos de AI y ML.

Capacidad para implementar pipelines MLOps con el uso de Contenedores, Kubernetes y Serverless.
Formación :

Imprescindible formación en Ingeniería Informática o de Telecomunicaciones.
Se valorará formación especializada como MBA o Máster en Big Data, Advanced Analytics y Cloud.

Idiomas :

Inglés profesional.


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