remote
Deep Learning Quality Specialist
ML Engineer
Deep Learning Quality Specialist focused on enhancing computer vision models through meticulous data annotation, guideline creation, and quality assurance using Convolutional Neural Networks and Confluence documentation tools.
About the role
Key Responsibilities
- Develop and maintain detailed annotation guidelines for computer vision datasets.
- Perform high‑quality data annotation and review annotations to ensure consistency and accuracy.
- Collaborate with ML engineers to refine Convolutional Neural Network training pipelines.
- Use Confluence to document processes, track issues, and share best practices.
- Analyze annotation quality metrics and recommend improvements.
Requirements
- Strong background in Deep Learning and Computer Vision.
- Hands‑on experience with Convolutional Neural Networks and related frameworks.
- Proficiency in data annotation tools and quality control techniques.
- Excellent communication skills and ability to document in Confluence.
- Detail‑oriented with a passion for data quality and model performance.
Skills
deep learningcomputer visionconfluence