Computer Vision Data Scientists should be able to model, prototype, and develop image recognition engines. Experience with Neural Networks and deep learning models are required at a minimum. This TalentCloud involves the development and prototyping of architectures and models for image-to-image translation based on deep learning convolutional neural networks (CNN). This TalentCloud also requires expertise to work on the creation, augmentation, and annotation of rich, high-quality training data sets.
Required Skills
- Proficient in Python
- Proficient in TensorFlow, Keras, PyTorch, mxnet, Caffe, Theano, DeepLearning4J, and nolearn
- Expert in parallel architecture and deploying GPUs
- 5+ years of experience in deep learning
- 3+ years of experience in computer vision
- Proficient in designing, building, tuning, and testing DL models
- Broad understanding of ML/CV approaches and practices
- Familiar with basic OOP, computer science algorithms, and data structures
- Proficient in SQL and NoSQL
- Extensive knowledge of CNNs
- Excellent communication and storytelling skills
- Comfortable working independently
- Experience in cloud platforms such as GCP, AWS, and Azure
- Familiarity with version control, especially Git/GitHub
Preferred Skills
- Experience with Big Data platforms such as Apache Spark
- Experience with Containers
- Experience with Java
- PhD in Computer Science or a related field
- 5+ years of experience in Computer Vision
