Lead AI Architect for Production ML & Generative AI

Scor

Paris

Sur place

EUR 110 000 - 170 000

Plein temps

Il y a 8 heures
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Résumé du poste

SCOR is seeking a Principal AI Engineer to provide hands-on technical leadership, shaping AI initiatives across the organization from prototype to production. You will collaborate with business and product teams to design scalable AI systems and promote responsible AI, governance, and robust ML lifecycle practices.

The role requires 8+ years in AI/ML, strong Python and cloud skills (Azure), and mentoring across data teams in a fast-paced reinsurer environment.

Qualifications

  • 8+ years of AI/ML production experience.
  • Strong Python programming and API development.
  • Experience with cloud platforms, preferably Azure.
  • Production-grade AI products and services development.
  • Experience with MLOps, CI/CD, and model governance.
  • Strong collaboration in multidisciplinary teams.

Responsabilités

  • Design, develop, and deploy AI and advanced analytics products that address high-value business challenges across the P&C business.
  • Drive the end-to-end implementation of machine learning, generative AI, and data science solutions from experimentation to production.
  • Collaborate with business, product, and technology stakeholders to translate requirements into robust and scalable solutions.
  • Apply and promote best practices in model development, software engineering, MLOps, testing, and AI product lifecycle management.
  • Provide technical guidance, mentoring, and peer reviews to Data Scientists and Machine Learning Engineers, helping raise engineering and modelling standards across the team.
  • Contribute technical expertise to complex initiatives and support innovation through experimentation with emerging AI technologies.
  • Ensure solutions meet performance, reliability, governance, and responsible AI standards.

Description du poste

SCOR is seeking a Principal AI Engineer to provide hands-on technical leadership, shaping AI initiatives across the organization from prototype to production. You will collaborate with business and product teams to design scalable AI systems and promote responsible AI, governance, and robust ML lifecycle practices.

The role requires 8+ years in AI/ML, strong Python and cloud skills (Azure), and mentoring across data teams in a fast-paced reinsurer environment.

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