Senior MLOps Engineer

Startupvalleys; Ticino; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Stock options

Zusammenfassung

Jaipur Robotics in Lugano Valley is seeking a Senior MLOps Engineer to design and operate the infrastructure behind ML systems, focusing on productionizing computer vision and ML pipelines on GCP.

You will work across CI/CD, cloud infrastructure, and data pipelines to ensure models and data systems run reliably at scale, collaborating with ML engineers and R&D to deploy robust, cost-aware solutions in industrial environments.

Qualifikationen

• Extensive experience with Google Cloud Platform (GCP) and its services.
• Experience building CI/CD pipelines using GitHub Actions or similar.
• Proficiency with Docker and Kubernetes in production environments.
• Experience building data pipelines with Apache Beam / Dataflow.
• Strong Python programming skills.
• Solid understanding of ML lifecycle.
• Experience operating in production with failure handling and debugging.
• Familiarity with streaming pipelines and real-time systems.

Aufgaben

• Build and operate end-to-end ML training/inference pipelines.
• Collaborate with founders and R&D on core systems.
• Scale real-world AI systems in industrial environments.
• Ensure reliability with monitoring and cost-aware design.
• Deploy and manage services on Cloud Run, GCS, Pub/Sub, and storage.

Kenntnisse

CI/CD

Python

ML lifecycle

Streaming pipelines

Production debugging

Cloud-native design

Model deployment

Tools

GCP / Cloud Run / GKE / GCS / Pub/Sub

Docker

Kubernetes (GKE)

GitHub Actions

Apache Beam / Dataflow

Terraform

Jobbeschreibung

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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