Machine Learning Engineer – Computer Vision & Data Systems
Tasks
- Build computer vision models
- Deploy machine learning models at scale
- Design machine learning systems
- Develop distributed ETL pipelines
- Develop large scale data processing workflows
- Improve data quality and dataset curation
- Integrate algorithms into production systems
- Monitor and improve production models
- Optimize model training and evaluation
- Prototype and run large scale experiments
Perks/Benefits
- N/A
Skills/Tech-stack
3D Reconstruction | 3D Vision | C++ | Computer Vision | Data Validation | Dataset curation | Deep learning | Distributed Computing | Distributed Training | ETL | GPU Training | Image Segmentation | Model Evaluation | Model Monitoring | Multi-view Geometry | Object Detection | PyTorch | Python | Ray | Self-Supervised Learning | Self-supervised | Spark | Supervised Learning | TensorFlow | Tracking | Visual Recognition
Education
Regions
Countries
States
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