1. Fetching unstructured data (text, audio, logs) from data sources (databases, filesystems, APIs, streams etc.)
2. Prepare data through frameworks including NLTK, SpaCy, Gensim, Librosa etc.
3. Writing complex deep learning models in TensorFlow/PyTorch for classification, regression, clustering, association, anomaly detection, structured output
4. Worked extensively on deep neural networks - CNNs, RNNs, MLPs, DBNs, RBMs, Autoencoders
5. Worked on word vectors and word embeddings
6. Worked on entity resolution for document processing
Preferred
1. Functional programming in Python on vinaigrette map-reduce lambda paradigm 2. Worked on development of data platform
3. Worked on Scikit-learn, PyTorch, Keras 4. Implemented BERT on context-based language processing 5. Implemented attention mechanism on transformers
Job Classification
Industry: IT Services & Consulting Functional Area / Department: Engineering - Software & QA Role Category: Software Development Role: Back End Developer Employement Type: Full time