Job Seekers, Please send resumes to firstname.lastname@example.org
- Experience in Deep Learning Libraries such as TensorFlow, Keras, PyTorch
- Text-wrangling and pre-processing skills such as document parsing and cleanup, vectorization, tokenization, language modeling, phrase detection.
- Experience in implementing Word2Vec and Neural Word Embeddings using Gensim or Glove.
- Hands on experience in Natural Language Processing tools (e.g., Spacy, NLTK, OpenNLP, or similar)
- Clustering and Classification of Text, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Knowledge Engineering, Search Rank and Recommendation.
- Experience in implementing sequence models using RNN, LSTM.
- Well versed in querying and analyzing data using programming languages such as Python, R, SQL, etc.
- Experience in leading ML Libraries including Python (scikit-learn, genism, etc.),
- Visualization using Python (Matplotlib, Seaborn, bokeh, etc.)
Good to Have:
- Basic to Intermediate exposure in analyzing unstructured data like Text (NLP) & Images (Computer Vision).
- Exposure to Deep Learning Libraries such as TensorFlow, Keras, PyTorch
- Hands on experience in Machine learning techniques for addressing a variety of problems (e.g. consumer segmentation, revenue forecasting etc.)
- Excellent understanding of supervised and unsupervised machine learning techniques for regression, classification and clustering tasks
Minimum years of experience*: 8+