Key skills
CloudPythonBashAIMachine LearningMLAgenticMLOpsLeadership
About this role
Role Overview
- Define modern Data & AI architectures
- Advise and support our clients in defining and designing data and AI architectures tailored to their business and technical challenges: Data Platform, Lakehouse, Data Mesh, MDM, Agentic Platform, MCP Platform or MLOps architectures
- Analyze existing architectures and define roadmaps to modernize data platforms and industrialize AI usage (legacy to target), including scenario planning, cost estimation and governance
- Help organizations select the most appropriate technologies and tools for their data and AI platforms
- Design architectures to deploy and maintain machine learning models at scale, incorporating MLOps and LLMOps best practices
- Ensure alignment between architecture and business objectives
- Lead technical teams and contribute to the upskilling of team members
Requirements
- Degree from a top engineering school or equivalent
- 4+ years of experience in data architecture (consulting firm or large-scale data environments)
- Expected expertise: Data Platform / Lakehouse / Data Mesh / MDM / Cloud architecture / MLOps / LLMOps
- Strong understanding of the ML lifecycle and MLOps pipelines
- Excellent command of Python (and scripting such as Bash)
- Experience in industrializing and automating AI models
- Technical leadership
- Ability to challenge and guide technology choices with a broad market perspective
- Fluent French and English, both written and spoken
Tech Stack
- Cloud
- Python
Benefits
- Reimbursement of your commuting costs (100% refund of your Navigo pass or sustainable mobility allowance up to €700 per year to support use and purchase of soft-mobility equipment)
- Meal vouchers worth €216/month, 60% covered by Saegus (Swile card)
- Holiday bonus (paid in June)
- Phone allowance €25/month
- Company profit-sharing bonus
- Company covers 75% of health insurance (mutuelle)