Location: Remote (CET working hours)
Who we are At Jaipur Robotics, we build AI systems that turn visual and sensor data into automation, efficiency, and operational intelligence for the waste industry. We are a rapid-growing, VC-backed clean-tech startup based in Switzerland, working with leading operators across Europe and expanding our engineering team to develop industrial perception and automation systems.
What we offer We’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.
- Own ML infrastructure on GCP across multiple production deployments
- Build and operate end-to-end ML training/inference pipelines
- Work directly with founders and R&D; engineers on core systems
- Contribute to scaling real-world AI systems used in industrial environments
- Competitive salary and stock options
Key Responsibilities MLOps & CI/CD
- Build and maintain CI/CD pipelines using GitHub Actions
- Automate model training, validation, and deployment workflows
- Manage versioning of models, datasets, and pipelines
- Implement safe deployment strategies (rollbacks, staged releases)
Cloud / Data Pipelines
- Deploy and manage services on Cloud Run, GCS, Pub/Sub, and data storage systems (SQL / NoSQL / Redis)
- Build scalable pipelines using Apache Beam / Dataflow
- Process large-scale image and sensor datasets
- Ensure reliability through monitoring, observability, and cost-aware design
Containerization, Kubernetes & Runtime
- Build and manage Docker-based services for ML and data pipelines
- Deploy and manage workloads on Google Kubernetes Engine (GKE)
- Optimize containers for performance, resource efficiency, and reliability
- Implement rolling deployments, health checks, and failo