Head of Data Science - Cuddle.ai

Fractal Analytics
Bengaluru
6 - 15 yrs exp
6 - 15 yrs exp
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About opportunityAbout opportunity

Personality Traits

  • Ability to work independently under tight deadlines with accountability.
  • Strong results driven personality with a high level of enthusiasm, energy and confidence.
  • Strong problem-solving skills.

Required Skills

  • In-depth knowledge of various Natural Language Processing/Understanding (NLP/NLU) domains such as entity extraction, speech recognition, topic modeling, parsing, question answering, etc.
  • Expertise in text mining (probabilistic topic model, word association mining, ontology learning, semantic similarity, etc.)
  • Expertise in NLP/NLU (word representation, relation extraction, natural language inference, semantic parsing, etc.)
  • Excellent background in Machine Learning (generative model, discriminative model, neural network, regression, classification, clustering, etc.)
  • Experience in deep learning on NLP/NLU is a big plus
  • Extensive experiences in using NLP related techniques/algorithms such as HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modeling, etc.
  • Experience in applied statistics including sampling approaches, modeling, and data mining techniques
  • Experience in building analytical models and working with structured and unstructured data
  • Experience with data structures and algorithms; ability to work in a Unix environment and building robust data processing and analytics pipelines
  • Contributions to research communities, e.g. ACL, NIPS, ICML, EMNLP, etc. is a Plus

Responsibilities:

  • You will be part of a high impact team that’s building the next generation of intelligence and language understanding for Cuddle
  • Build text/voice-based search engine and question answering system for Cuddle
  • You'll utilize the latest techniques in AI, ML (including Deep Learning approaches) and NLU
  • Build topic analysis, text classification, named entity recognition methods for unstructured and semi-structured data
  • Develop and perform text classification using methods such as logistic regression, decision trees, SVM and maximum entropy classifiers
  • Perform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patterns
  • Generate creative solutions (patents) and publish research results in top conferences (papers)

Qualifications

  • PhD. /Master's degree in Mathematics, Statistics, Computer Science, or related fields
  • 2+ years of ML + NLP experience
  • Software programming in Java or Python
  • Knowledge of SQL and NoSQL databases
  • Knowledge of open source machine learning libraries like scikit-learn, tensorflow, NLP tool as NLTK
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