FUNCTIONS End-to-end AI 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 laws).- Technical mentorship: - Mentoring junior data scientists through practical guidance, skills gap training, and joint solution development. - Foster a culture of excellence, collaboration, and continuous learning within the data science team.- Innovation and future-ready AI: - Stay ahead of the curve in machine learning and AI advancements. - Proactively identify business challenges and propose high-impact AI innovation projects. REQUIREMENTS: - Master’s in Computer Science, Statistics, Mathematics, Engineering, or related field.- 3+ years of experience in data science or ML.- Technical skills: - Programming: Python, SQL (.NET is an extra). - Version control. - Deep learning framework: PyTorch. - MLOps: AI products lifecycle management.