A Swiss RegTech company whose platform fights financial crime inside more than a thousand banks across eighty countries, an AIFinTech100 member, is building out the function that turns its data science team’s models into software that actually survives contact with a bank’s infrastructure.
That’s the job. Their data scientists build the models, fraud detection, AML scoring, sanctions screening. What happens next, the Kubernetes platform, the MLOps pipelines, the serving layer that has to run inside client environments that are often isolated, air-gapped, or running on whatever GPU happens to be sitting in that bank’s rack, is yours to own.
This isn’t a cloud-native MLOps role where everything lives in a managed service and scales on demand. Some of your deployments will have no outbound internet at all. You’ll be building the frameworks and pipelines that make model training, testing, deployment and monitoring repeatable across very different customer environments, integrating them into Kafka and gRPC-based backend systems, and working directly with the infrastructure and software engineering teams to get it all into production, not around them.
What matters most:
- You’ve deployed AI/ML platforms into isolated, restricted, or non-SaaS environments, ideally in live production, not just in a lab or a PoC
- Deep Kubernetes and distributed systems experience, with MLOps tooling (MLflow and equivalents) and a framework like Spark or vLLM in your actual production toolkit
- You write clean, secure, maintainable code because you’re the one who gets paged when it breaks
- You’re as comfortable explaining a technical decision to a client’s infrastructure team as you are writing the Helm chart yourself
Financial crime domain knowledge is a bonus, not a requirement. What we need is someone who’s done the unglamorous, high-stakes work of making AI run where the cloud can’t reach, and wants to keep doing exactly that, at scale, for a platform operating inside some of the most regulated infrastructure in the world.
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Senior AI Platform Engineer in Zürich Arbeitgeber: TMS Technology
TMS Technology bietet eine dynamische und unterstützende Arbeitsumgebung, in der IT-Security-Experten die Möglichkeit haben, an spannenden Projekten in einem wachsenden Markt zu arbeiten. Unsere Mitarbeiter profitieren von flexiblen Arbeitszeiten, kontinuierlichen Weiterbildungsmöglichkeiten und einer offenen Unternehmenskultur, die Innovation und Teamarbeit fördert. Als Teil unseres Teams in Österreich tragen Sie aktiv zur Verbesserung der Cybersicherheit bei und entwickeln Ihre Fähigkeiten in einem zukunftsorientierten Umfeld.
