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).
- Deep learning framework: PyTorch.
- MLOps: AI products lifecycle management.
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