Senior MLOps Engineer

Blank or asking you to sign in? Switch to the text version or open the original. 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 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. 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) 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 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 failover strategies Maintain reproducible environments across dev, staging, and prod Work closely with ML engineers to productionize models Optimize inference pipelines and resource utilization Implement monitoring for model performance and drift Requirements Strong experience with GCP (Cloud Run, GKE, GCS, Pub/Sub, IAM) Experience building CI/CD pipelines (GitHub Actions or similar) Experience with Docker and Kubernetes (GKE) in production Experience building data pipelines (Apache Beam / Dataflow) Solid understanding of ML lifecycle Familiarity with streaming pipelines and real-time systems Experience operating in production with failure handling and debugging Strong programming skills in Python Nice to Have Experience working in an early-stage startup / scale-up (<50 engineers) Experience with camera and LiDAR systems Experience deploying on edge in restricted IT/OT industrial environments Maintain infrastructure using Terraform (infrastructure-as-code) About this startup Jaipur Robotics Robotics Lugano Valley Employees 1–10 Founded 2024 Valley Lugano City Manno Via Cantonale 18, 6928 Manno, Switzerland Directions #J-18808-Ljbffr