Remote Data Scientist (Deep Learning and Image Processing)
Dice · United States Of America, United States Of America · Remote
About the job
Position: Data Scientist (Deep Learning and Image Processing)
Location: Remote
Key Responsibilities:
- Deep Learning & Computer Vision Model Development: Design, build, and optimize deep learning models (e.g., CNNs, GANs, RNNs) for image classification, object detection, segmentation, and related tasks.
- Image Processing: Develop and implement image enhancement, preprocessing, and feature extraction algorithms for improving the quality and accuracy of visual data.
- Data Preparation: Collect, clean, augment, and label image datasets to be used for model training and testing.
- Model Deployment: Deploy models into production environments, ensuring scalability, efficiency, and performance.
- Research & Innovation: Stay updated on the latest advancements in deep learning and computer vision techniques, applying innovative approaches to ongoing projects.
- Performance Optimization: Fine-tune models to improve accuracy, reduce latency, and optimize performance for real-time applications.
- Collaboration: Work cross-functionally with data engineers, product managers, and other stakeholders to deliver end-to-end AI solutions.
- Experimentation & Evaluation: Conduct experiments to validate the performance of models and algorithms using metrics like precision, recall, F1 score, IoU, etc.