**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.