“Netomi” Openings for Data Scientist

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Job Title : Data Scientist

Qualification : B.Tech/BCA

Experience : 1+ years

Location : Gurugram

Company Profile :

From our provenance in 2015 as msg.ai, we evolved into who we are today: Netomi. A combination of three words – Net, Om and I – our name is truly representative of our existence. We empower brands to leverage the “Net” (sum) of our AI, along with their human capital, to connect with what is fundamental to them (“Om, the primordial sound”) to ultimately bring out their best self (“I”) for their customers.

Responsibilities/Skills :

  • Apply knowledge in one or more of the following areas to achieve goals and deliver results
    NLP and Machine learning
  • Computer programming (programming languages, computer science, scientific computing)
    Computer analytics architecture (e.g. distributed computing and modern databases)
  • Works collaboratively in a multi-disciplinary team environment; establishes and maintains professional networks with subject matter experts.
  • Work as a direct contributor and key technical advisor to define the roadmap of projects
  • 1+ years of work experience related to statistical analysis, machine learning models and programming.
  • Self-motivated and driven to satisfy intellectual curiosity through the pursuit of learning and development of new skills.
  • Experience working with a wide variety of statistical models such as linear/logistic regression, clustering, classification, support vector machines (SVM) neural networks, Random Forest, CRF, Bayesian models, supervised/unsupervised learning, etc. The ideal candidate will have a wide coverage of the different methods/models, and an in-depth knowledge of some.
  • Knowledge of Natural Language Processing (NLP) techniques (POS Tagging, NER, Semantic Role Labelling etc.) and good working experience with at least one of the frameworks (e.g. Stanford NLP, Apache OpenNLP, Mallet, Ling pipe, NLTK).
  • Deep knowledge and experience in Information Extraction ( structured and unstructured data), Knowledge Information Retrieval and Knowledge Representation.
  • It would be good to have if the candidate has knowledge of Deep Learning (ANN, CNN, RBM) and has NLP Deep Learning experience related to Word2Vec, Thought Vectors

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