Data & ML Ops Lead

Location: Zurich, Switzerland; hybrid workplace

Company

hirify.global is a Series A robotics startup developing Physical AI systems that turn heavy construction machines into autonomous robots.

What you will do

• Own the MLOps technical vision, roadmap, infrastructure strategy, and architecture decisions.
• Lead and grow an engineering team building high-throughput ingestion pipelines for petabyte-scale multimodal datasets, including LiDAR, camera, GNSS/IMU, and hydraulics data.
• Design, build, and operate highly available hybrid cloud and on-premise compute clusters.
• Lead continuous deployment, monitoring, and maintenance of ML models across thousands of edge devices.
• Establish model lifecycle management with registries, artifact versioning, regression testing, experiment tracking, and real-time observability.
• Collaborate with robotics and platform leadership to create scalable training environments and evaluate MLOps tooling.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Electrical Engineering, or a related field.
• 7+ years of experience in MLOps, data engineering, or ML infrastructure, preferably in a leadership role.
• 5+ years of production Kubernetes experience, including cloud infrastructure on AWS, GCP, or Azure and on-premise clusters.
• Technical leadership or engineering management experience, including mentoring and growing engineers.
• Experience building large-scale data pipelines for complex multimodal datasets and deploying ML models across thousands of edge devices.
• Experience with model registries, artifact and data versioning, experiment tracking, ML CI/CD, and Infrastructure as Code.

Nice to have

• Experience with robotics data such as point clouds, camera streams, and time-series data.
• Experience with Foxglove, Prometheus, Grafana, or related robotics and DevOps tooling.
• Experience with databases and large-scale database architectures, indexing, and high-performance data retrieval.

Culture & Benefits

• Work in a multidisciplinary robotics team developing technology for the construction industry.
• Contribute to systems deployed with construction and equipment partners across multiple countries.
• Join an ETH Zurich spin-out backed by SoftBank and operating at Series A stage.
• Help develop autonomy, augmented remote control, and learning-based automation for heavy machinery.