Senior MLOps Engineer

Role Overview: At Jaipur Robotics, we are looking for a Senior MLOps Engineer (GCP / Computer Vision & ML Pipelines) to join our team. You will be responsible for designing and operating the infrastructure behind our ML systems, with a focus on productionizing computer vision and perception pipelines at scale on GCP. Your role will involve working across CI/CD, cloud infrastructure, and data pipelines to ensure that models and data systems run reliably at scale. Key Responsibilities: - 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 Qualification Required: - 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 Additional Details: Jaipur Robotics is a fast-growing, VC-backed clean-tech startup based in Switzerland. We work with leading operators across Europe and are expanding our engineering team to develop industrial perception and automation systems. As a member of our team, you will have the opportunity to work on cutting-edge technology and make a significant impact in the waste industry. Role Overview: At Jaipur Robotics, we are looking for a Senior MLOps Engineer (GCP / Computer Vision & ML Pipelines) to join our team. You will be responsible for designing and operating the infrastructure behind our ML systems, with a focus on productionizing computer vision and perception pipelines at scale on GCP. Your role will involve working across CI/CD, cloud infrastructure, and data pipelines to ensure that models and data systems run reliably at scale. Key Responsibilities: - 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 Qualification Required: - 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 Additional Details: Jaipur Robotics is a fast-growing, VC-backed clean-tech startup based in Switzerland. We work with leading operators across Europe and are expanding our engineering team to develop industrial perception and automation systems. As a member of our team, you will have the opportunity to work on cutting-edge technology and make a significant impact in the waste industry.