Applied Computer Vision Engineer - Data Driven Development
Core
Architect and implement robust data pipelines and cloud-native workflows to enable the development, training, and evaluation of next-generation computer vision models.
Role type
Senior IC Applied Computer Vision Engineer (Data Infrastructure)
Builds
Scalable data pipelines, cloud-based workflows, and training/evaluation infrastructure for computer vision applications.
Domain
Computer Vision, MLOps, Cloud Infrastructure
Deliverable
production ML models
Required skills
Scalable data pipeline design, Azure cloud platforms (AzureML, Blob Storage, ML Compute), Data orchestration (Databricks, Ray), Containerization (Docker), Deep learning frameworks (PyTorch, TensorFlow), Python, Linux environment, Git
Preferred skills
ADAS/autonomous driving/robotics domain experience, Model optimization/deployment (TensorRT, ONNX), C++, AWS/GCP experience
Technologies
Azure, Databricks, Ray, Docker, PyTorch, TensorFlow, TensorRT, ONNX, Git, Linux
Responsibilities
Design and maintain scalable data pipelines for high-throughput image processing; Architect efficient database schemas and end-to-end data flows; Build and automate training and evaluation pipelines; Integrate ML pipelines with cloud storage and compute services; Optimize existing models and data workflows; Implement data quality monitoring and infrastructure-as-code practices.
Seniority
Senior, hands-on IC
