This TalentCloud requires you to have extensive experience in designing, developing, and evaluating AI solutions based on deep learning paradigms. DL data scientists should be experts in different architectures of deep learning models such as RNN, LSTM, CNN, VAE, DCN, and Attention Networks. DL data scientists should have extensive experience in dealing with applications of DL in natural language processing, image recognition, and anomaly detection.
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
- Proficient in designing, building, tuning, and testing DL models
- Expert in dealing with different forms of data including text and image data
- Expert in pre-processing data including dealing with anomalies and outliers, dealing with missing values, flooring/capping, and data transformations
- Hands-on experience writing data processing and data pipeline for structured and unstructured data model development
- Proficient in SQL and NoSQL
- Extensive knowledge of RNNs, CNNs, Attention Networks, and VAEs
- Excellent communication and storytelling skills
- Comfortable working independently
- Experience in cloud platforms such as GCP, AWS, and Azure
- 3+ years of experience with NLP/ NLU and computer vision
- Proficient in NLP transformers such as BERT
- 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
