Fullstack Data Engineer - Woman/Man/Non Binary

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Requirements:

• You’ve already trained and deployed machine learning models in production environments
• Proficient in Python, and familiar with its full-stack usage (packaging, logging, FastAPI, Flask)
• Strong autonomy: you can take a scoped project and drive it independently
• Solid understanding of software engineering best practices: versioning, code reviews, pair programming
• Product-oriented mindset: you care about UX, data value, and user outcomes

Responsibilities:

• Design and prototype ML models and AI features (e.g. Named Entity Recognition for CTI enrichment)
• Translate concepts into PoCs and MVPs to validate value
• Maintain and improve our growing AI/ML pipelines
• Collaborate closely with engineers to ensure smooth downstream integration into our open-source platforms
• Conduct technical watch and apply state-of-the-art practices
• Contribute to the growth of our enterprise data platform
• Ensure code quality, reliability and test automation via reviews and collaboration