AI Engineer

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Responsibilities

• Design, build, and scale advanced AI solutions. Have a broad understanding of different computer vision and text processing-oriented architectures and their applicability.
• Own the full lifecycle of data science initiatives, from ideation and data ingestion to production‑grade model deployment.
• Drive continuous experimentation to optimize model performance and deliver measurable business impact.
• Strategic collaboration and stakeholder alignment
• Partner with business leaders to translate needs into clear project scopes, objectives, and success metrics.
• Define technical and business success criteria with project managers and stakeholders.
• Ensure solutions meet corporate standards for data quality, security, privacy, and regulatory compliance (including EU AI Act and regional...