AI Technical Analyst
Fieldside
Ort der Stelle
Brussels
Status der Beschäftigung
Vollzeit
Job-Details
Voor onze klant zijn wij op zoek naar een AI Technical Analyst.
Startdatum: 01/01/2025
Einddatum: 31/12/2025
Locatie: Brussel (2-3 dagen on site)
Regime: Voltijds
Description
As part of the Digital team, the AI analyst will be responsible for supporting the deployment and maintenance of AI integrations into already existing applications as well as launching new AI initiatives answering demands from the business.
Responsibilities
• As an AI Analyst, you will be an integral part of the emerging sub-branch, dedicated to artificial intelligence. You will work closely with the AI Product Manager to design and build new applications that leverage AI technology. Your primary responsibility will be to translate business needs into live applications that can quickly and reliably address those needs.
• Additionally, you will be responsible for the deployment and maintenance of AI integrations into existing applications. This includes building and maintaining application structures on public cloud platforms, utilizing your expertise to make the best use of available AI resources. You will also establish strong collaboration with our software factory to integrate AI solutions with existing software in our digital portfolio.
• Your role will also involve keeping track of potential improvements proposed by clients and prospects, and scheduling regular upgrades to ensure the continuous enhancement of our AI applications.
Requirements
• Proficiency in Azure: Strong knowledge and hands-on experience with Microsoft Azure, including deploying and managing resources on the platform. Familiarity with Azure AI services and tools is essential.
• AI Expertise: In-depth understanding of AI technologies and their applications. Experience in developing, deploying, and maintaining AI models and solutions.
• Cloud Computing: Expertise in cloud computing, particularly in building and maintaining application structures on public cloud platforms. Ability to leverage cloud resources effectively to meet business needs.
• Programming Skills: Proficiency in programming languages commonly used in AI development, such as Python, R, or Java. Experience with machine learning frameworks and libraries is a plus
