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Schemathics is a data-driven technology company operating at the intersection of AI and large-scale consumer engagement. We build and optimize end-to-end digital funnels, processing high volumes of behavioral and event-driven data in real time – and we are placing AI at the core of our workflows.
We are looking for a hands-on MLOps Engineer to design, build, and own a generic deployment platform for ML and AI. You will own the full production lifecycle of our models and pipelines – from packaging and deployment through monitoring, retraining, and incident response – covering both classical ML models and AI-based solutions, including agentic ones.
Requirements
Hands-on experience deploying and operating AI-based solutions in production, including agentic pipelines, with ownership over evaluation, latency, and cost
Hands-on experience deploying and maintaining predictive models in production – both classical ML and LLM-based – in batch and online serving modes
Experience with cloud-based ML platforms and MLOps tooling: experiment tracking, model versioning, model registry, deployment pipelines