Senior MLOps Engineer — Scale ML Pipelines on GCP

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

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.