Senior AI Engineer Proaktive StelleProaktive StellenanzeigeDie Stelle ist derzeit nicht offen, aber das Unternehmen bleibt aufmerksam für neue Talente. Sie können Ihr Profil teilen, um in deren Talentpool aufgenommen zu werden und entdeckt zu werden, wenn sich eine Gelegenheit ergibt.KI-verifiziertKI-verifiziertDiese Rolle wurde von KI auf Grundlage öffentlicher Daten und Einstellungsmuster verifiziert. Sie stellt eine wahrscheinliche Gelegenheit bei diesem Unternehmen dar.

Hohe Konfidenz

ESCO ESCO Diese Rolle ist mit ESCO gekennzeichnet, gemäß der offiziellen europäischen Nomenklatur für Berufe und Kompetenzen.

Stellenbeschreibung

Senior AI Engineer

Objective: Design and implement advanced artificial intelligence solutions to solve complex business challenges. Drive innovation in data science and machine learning projects for clients.

Key responsibilities:

• Develop and deploy AI and machine learning models.
• Collaborate with data scientists, engineers, and business stakeholders to deliver impactful AI solutions.
• Stay updated on the latest AI technologies and methodologies.
• Ensure scalability and robustness of AI systems in production environments.

Key skills:

• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch).
• Strong programming skills in Python or similar languages.
• Ability to communicate complex technical concepts to non-technical stakeholders.

Typical profile:

• Master’s degree in Computer Science, AI, or related field.
• Several years of experience in AI engineering or data science roles.

Über Datashift

What we do: Datashift specializes in Artificial Intelligence, Business Analytics, Data Governance, Data Science, and Data Engineering. We empower organizations to become truly data-driven by offering end-to-end data services from strategy to implementation. Our focus is on creating long-term value for clients through data-driven decision-making.

Where we are located: Our headquarters is situated at Oude Brusselsestraat 14, 2800 Mechelen, Belgium.

Short history: Founded in 2015, Datashift was inspired by its co-founders who combined deep business knowledge with data analytics and technology expertise.

Organization & culture: Datashift employs between 51 and 200 people and fosters a culture of mutual trust and collaboration. We invest in training and development, staying updated on the latest data technologies.

Recent developments: Datashift recently welcomed new graduates to its team and participated in the Data News Awards ceremony, celebrating strong client relationships.

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