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AI Architect to project in Stockholm
Stockholm
- Publicado 5 años
- Inglés, Sueco
- Fecha de comienzo esperada: Inmediata
Assignment Details
Our client is currently looking for a AI Architect to be responsible of Spearheading architecture blueprints working across multiple use cases and managing the development of new advanced analytics solutions. Solving complex machine learning issues. Providing technical assistance in machine learning, hypothesis testing, modelling, automation and architecture. Defining the technical roadmaps, communicating with all stakeholders on any changes or advancements and building the engineering teams working collaboratively with AI leadership
The challenges:
This role is to work collaboratively with expert Machine Learning and Software Engineers, Data Scientists, Product Managers and others, to construct and shape the advanced analytics environment across the organisation.
Experience and knowledge:
For this assignment we are looking for a person with the following experience:
- Strong machine learning or AI experience
- Applying machine learning systems at scale in Linux and Python
- Experience in Architecture and providing platform solutions
- Extensive coding and software engineering
- Cloud architecture (Azure/AWS/GCP)
- Solid exposure to Docker/Jenkins/Spark/Hadoop/C++/Java/JavaScript
Your Profile:
In order to become a successful candidate for the assignment, we seek you who are/have:
- Fluent in English and Swedish, both written and spoken
- At least 5+ years of experience of the qualifications
Extra Information:
Location: Stockholm
Start Date: ASAP
Overview
Ubicación | Stockholm |
Carga de trabajo | 40 Horas/semana , 100% Onsite |
Fecha de comienzo aprox. | Inmediata |
Fecha fin aprox. | Abrir |
Idiomas necesarios | Inglés, Sueco |
Habilidades necesarias | AWS, Azure, C++, Docker, GCP, Hadoop, Java, JavaScript, Jenkins, Linux, Python, Spark |
Asignación cerrada
Esta asignación está cerrada a partir de 2019-06-14 y ya no acepta candidatos. Cree una cuenta para ser el primero en saber cuándo se publican en Onsiter asignaciones similares u otras relevantes.
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