Want to build the "plumbing" that powers not just analytics, but the next generation of AI applications? ⚙️?

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What do we offer:
- Projects ranging from massive batch processing to real-time streaming and event-driven architectures.
- Exposure to the cutting edge of AI Engineering: integrating Vector Databases and preparing unstructured data (text, images).
- Opportunity to work with top-tier open-source orchestration and processing tools (Airflow, Spark, Kafka).
- A culture of continuous learning

??‍? Responsibilities:
- Partner with the CTO and leadership to set the Intelligence strategy and roadmap; own the execution
- Build, hire, and develop the Intelligence team — set the bar for craft, shape the operating cadence, and build the collaboration patterns with product, platform, and engineering
- Stand up the canonical data substrate: schema discipline, tenancy isolation, data contracts, lineage, and governance that AI/ML workloads run cleanly against
- Stand up the ML and AI platform: model lifecycle, feature store, vector store, training and serving infrastructure,



and MLOps practice
- Lead the learning and reasoning capabilities of the platform: RAG architectures, agentic data systems, knowledge graphs, and the patterns that let Stratus's data compound into platform intelligence
- Develop and drive evaluation frameworks measuring model quality, agent reliability, drift, and platform effectiveness — make AI workloads observable to engineering, product, and customer success
- Drive the build-vs-buy posture for the AI/ML stack; set production readiness standards for AI workloads in close collaboration with the platform team
- Partner with product on the AI use case portfolio; engage directly with customers when needed to ground Intelligence decisions in real workflow problems

? If you have:
- AI-driven leadership posture: you personally set the bar for AI-augmented practice — you build with AI tools, expect your team to, and know how to distinguish what's ready

📌 Lead Data Engineer (Buenos Aires)
🏢 Marvik
📍 Buenos Aires