AI Engineer

hace 2 meses


España SDG Group A tiempo completo

En SDG, no solo tendrás la oportunidad de formar parte de algo increíble, sino que vivirás lo que significa ser un auténtico especialista en Data & Analytics¿Estás preparadx para embarcarte en esta emocionante aventura? Con nosotrxs, podrás potenciar todas tus habilidades y capacidades analíticas, tecnológicas y de negocio.Es hora de despegar hacia el futuro mediante el poder de los datos Únete a nosotros y prepárate para romper las reglas y alcanzar tu mejor versión.Descubre el poder de SDG: líderes globales en la industria del dato.En SDG trabajamos para la mitad de las empresas del IBEX-35, pero también en multitud de compañías internacionales. Gracias al boom de la analítica, estamos en un ritmo constante de crecimiento, y desde 1994 nos hemos convertido en el socio de confianza para empresas que desean maximizar todo el potencial de sus datos.Si buscas formar parte de una compañía 100% especializada en #Data & #Analytics, te estamos esperandoRequisitos mínimos:Titulación en Ingeniería Informática, Ingeniería de Telecomunicación, o cualquier otra titulación de ámbito técnico y con cercanía a la ingeniería del software.Al menos 2 años de experiencia como machine learning engineer en un puesto similar.Conocimientos teóricos y prácticos de los fundamentos de la ciencia de datos, el ciclo de vida de las soluciones de ciencia de datos y la metodología MLOps.Experiencia en el desarrollo de software y en la implementación de soluciones de machine learning e inteligencia artificial.Conocimiento y experiencia en los lenguajes y las tecnologías estado del arte para el desarrollo de sistemas de machine learning (Python, R, Docker, Azure Databricks, Azure Machine Learning, Amazon SageMaker, Google Vertex AI, Apache Airflow, MLflow, Kubernetes).Habilidades comunicativas y de exposición tanto en español como en inglés.Requisitos muy valorables:Máster y/o doctorado en una temática relacionada con los ámbitos del big data o la inteligencia artificial.Experiencia previa en consultoría dentro del mundo de data & analytics.Experiencia previa trabajando como data engineer o en cualquier otro ámbito dentro de la cadena de valor del dato.Experiencia en el uso de tecnologías de la nube con respecto a conceptos como la habilitación de infraestructura, la automatización de pipelines de datos, y la operación y monitorización de sistemas de procesamiento de datos.Certificaciones en tecnologías o ámbitos relevantes para el desarrollo de sistemas de machine learning en cualquiera de las tres grandes nubes.Acerca de la compañía y el puesto:SDG Group es una firma de consultoría global focalizada exclusivamente en soluciones de data & analytics, cubriendo con ello toda la cadena de valor del dato, y proporcionando planes de carrera tanto de consultoría como de especialización para todos aquellos que quieran progresar en el mundo del dato.Además, a través de nuestra cultura Smart Work tendrás la posibilidad de definir el modelo de trabajo que más se adapte a ti y a tus necesidades personales, al mismo tiempo que puedas colaborar en iniciativas de gran impacto para clientes punteros en sus respectivas industrias.Como Machine Learning Engineer del área de Data Science, tu misión será formar parte de equipos multidisciplinares con el objetivo de ayudar a nuestros clientes a desarrollar soluciones de machine learning e inteligencia artificial en entornos de alta complejidad técnica. Tendrás la posibilidad de utilizar un amplio espectro de tecnologías innovadoras para la construcción de soluciones de IA bajo diversos paradigmas de analítica predictiva y deep learning, aplicando para ello los principios adecuados en términos de desarrollo y arquitectura.Asimismo, gracias a nuestro path de especialista tendrás la oportunidad de crecer como ingeniero de sistemas de ML, contando con herramientas y recursos para tu continuo aprendizaje y crecimiento profesional, al mismo tiempo que te involucras en diversos retos que permitan tanto a SDG Group como a nuestros clientes explotar al máximo las posibilidades infinitas que nos ofrece la inteligencia artificial.Participar en el desarrollo de soluciones de inteligencia artificial de manera end-to-end, desde el entendimiento del problema y los objetivos de negocio, pasando por la experimentación asociada a todo ello, y llegando hasta el desarrollo de sistemas plenamente productivos.Llevar a cabo iniciativas de industrialización de sistemas de machine learning desde una perspectiva de ingeniería, y siempre bajo una metodología MLOps.Colaborar en la definición y fundamentación de plataformas y sistemas de analítica avanzada en la nube para dar cobertura a la actividad de la ciencia de datos de grandes compañías.Conocer, formarse y utilizar las diferentes herramientas y plataformas disponibles en las distintas nubes para el desarrollo de soluciones de ciencia de datos y MLOps.
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