Machine Learning Operations Engineer
Swarmbotics AIPhoenix, Arizona, United States
Posted September 17, 2025
Full Time
About the Company
Swarmbotics AI is a leading low-cost swarm robotics company specializing in industry and defense applications. We develop autonomous robots using off-the-shelf components to enable sophisticated swarm capabilities, offering solutions that are both cost-effective and scalable for global use.
Job Description
SwarmboticsAI is seeking a highly skilled Machine Learning Operations Engineer to design, build, and maintain their machine learning infrastructure for an autonomous swarm of unmanned ground vehicles. This role involves creating scalable ML pipelines for perception teams, ensuring robust model training, deployment, and monitoring across the fleet, and collaborating with cross-functional teams.
Requirements
- Minimum 2 years industry experience in MLOps, DevOps, or ML infrastructure
- Bachelor's degree in computer science, engineering, or related field
- Strong experience with ML pipeline orchestration tools (Kubeflow, MLflow, or similar)
- Proficiency in containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure)
- Strong Python programming and Linux system administration skills
- Experience with model serving frameworks (TensorRT, ONNX Runtime, TorchServe)
- Knowledge of data versioning and experiment tracking (Weights & Biases, Neptune, or similar)
- Experience with monitoring and logging systems (Prometheus, Grafana, ELK stack)
- Strong organization and communication skills
