# Autonomy Engineer - ML & DL Infrastructure

**Company:** [Skydio](https://hotfix.jobs/companies/skydio)
**Location:** Zurich, Switzerland
**Role:** ML Engineering
**Skills:** Data Engineering, Data Pipelines, Machine Learning, Deep Learning, MLOps, Cloud Computing, Containerization, Databases, Data Ingestion, Model Training, Model Deployment, Model Monitoring, Python, Security Compliance, Software Architecture
**Posted:** 2026-05-27

> Build and scale the infrastructure, data pipelines, and MLOps workflows supporting deep-learning training and deployment for autonomous drones. The role requires hands-on data engineering, cloud ML platforms, containerization, databases, and end-to-end software lifecycle experience.

## Job Description

## Responsibilities
- Design and implement scalable, extensible, interactive data pipelines and annotation workflows.
- Build tools leveraging state-of-the-art machine learning systems for efficient data exploration and curation across a drone fleet.
- Design and implement pipelines for data ingestion, versioning, model training, deployment, and monitoring.
- Optimize and scale deep learning training workflows to improve team iteration velocity.
- Apply engineering expertise and best practices to uphold and improve engineering standards.

## Requirements
- Hands-on experience with data engineering and building large-scale, performant, efficient data-processing pipelines.
- Hands-on experience with cloud-based machine learning platforms, containerization technologies, MLOps platforms, and databases.
- Experience and understanding of security and compliance requirements in ML infrastructure.
- Hands-on experience building and managing ML pipelines, including data preparation, model training, model deployment, and monitoring.
- Ability to drive concepts through the software lifecycle: architecture, development, testing, deployment, and monitoring.
- Comfort navigating and delivering within a complex codebase.
- Strong communication skills and ability to collaborate effectively across technical levels.

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**Canonical:** https://hotfix.jobs/jobs/8e19197f-adff-47c1-a48f-eacc930c1554