At Jaipur Robotics, we’re building AI-powered solutions that transform the waste industry — turning complex data into automation, efficiency, and environmental impact. As a fast-growing, VC-backed clean-tech startup based in Switzerland, we work with leading waste operators across Europe and are now scaling our hardware and operations capabilities to support rapid deployment in the field.What we offerWe’re hiring a Senior MLOps Engineer (GCP / Computer Vision & ML Pipelines) to design and operate the infrastructure behind our ML systems.This role focuses on productionizing computer vision and perception pipelines at scale on GCP. You will work across CI/CD, cloud infrastructure, and data pipelines, ensuring models and data systems run reliably at scale.Build and operate end-to-end ML training / inference pipelinesWork directly with founders and R&D engineers on core systemsContribute to scaling real-world AI systems used in industrial environmentsCompetitive salary and stock optionsKey ResponsibilitiesMLOps & CI/CDBuild and maintain CI/CD pipelines using GitHub ActionsAutomate model training, validation, and deployment workflowsManage versioning of models, datasets, and pipelinesImplement safe deployment strategies (rollbacks, staged releases)Deploy and manage services on Cloud Run, GCS, Pub/Sub, and data storage systems (SQL / NoSQL / Redis)Build scalable pipelines using Apache Beam / DataflowProcess large-scale image and sensor datasetsEnsure reliability through monitoring, observability, and cost‑aware designBuild and manage Docker‑based services for ML and data pipelinesDeploy and manage workloads on Google Kubernetes Engine (GKE)Optimize containers for performance, resource efficiency, and reliabilityImplement rolling deployments, health checks, and failover strategiesMaintain reproducible environments across dev, staging, and prodWork closely ... etc works ... etc.Requirements... etc ...Nice to Have ... etc ... #J-18808-Ljbffr
Senior MLOps Engineer in Sachseln Arbeitgeber: Jaipur Robotics
Jaipur Robotics ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern die Möglichkeit bietet, an der Spitze der KI- und Computer Vision-Technologien zu arbeiten. In einem dynamischen und innovativen Startup-Umfeld in der Schweiz fördern wir eine Kultur der Eigenverantwortung und direkten Zusammenarbeit mit den Gründern sowie einem multidisziplinären Ingenieurteam. Unsere flexiblen Arbeitsmodelle und umfassenden Reisekostenrichtlinien sorgen dafür, dass Sie nicht nur beruflich wachsen, sondern auch einen echten Einfluss auf die Umwelt haben können.
