US Tech Solutions Private Limited
2-7 years
Not Specified

Job Description

Job Description.
Responsibilities: As an NLP Data Scientist you will be responsible for building AI and Data Science models with a main focus on mining insights from text corpora. You will need to rapidly prototype various algorithmic implementations and test their efficacy using appropriate experimental design and hypothesis validation.
What we look for in your background:
  • Knowledge and working experience in one or more of the following areas: Natural Language Processing, Clustering and Classification of Text, Text Mining, Information Retrieval, Distributional Semantics, Knowledge Engineering, Search Rank and Recommendation.
  • Deep experience with text-wrangling and pre-processing skills such as document parsing and cleanup, vectorization, tokenization, language modeling, phrase detection, etc.
  • Proficient programming skills in a high-level language (e.g. Python, R)
  • Being comfortable with rapid prototyping practices.
  • Being comfortable with developing clean, production-ready code.
  • Being comfortable with pre-processing unstructured or semi-structured data.
  • Experience with statistical data analysis, experimental design, and hypotheses validation
  • Project-based experience with some of the following tools:
    • Natural Language Processing (e.g., Spacy, NLTK, ClearTK, ScalaNLP/Breeze, ClearNLP, OpenNLP, or similar)
    • Applied machine learning (e.g. libSVM, Shogun, Scikit-learn, SparkML, H2O, or similar)
    • Information retrieval and search engines, e.g. ElasticSearch/ELK, Solr/Lucene
    • Distributed computing platforms, such as Spark, Hadoop (Hive, HBase, Pig), GraphLab
    • Word Embeddings ( word2vec & GloVe )
    • RNN ( CNN vs RNN ), LSTM & GRU ( LSTM vs GRU )
    • Databases (traditional MYSQL and noSQL)
  • Proficiency in traditional Machine Learning models such as SVMs, LDA/topic modeling, HMMs, graphical models, Decision Trees etc.
  • Familiarity with Deep Learning architectures and frameworks such as PyTorch, Tensorflow, Keras.

Whats in it for you:
  • Opportunity to develop the core algorithms from scratch.
  • Lots of learning opportunities and freedom to express your ideas
  • Attractive compensation plan offers competitive base salary commensurate with experience and extremely lucrative bonus plan.
  • Growth opportunities are limitless for an employee who establishes credibility and demonstrates competency in this role.

SimplifyVMS provides a cloud-based contingent workforce Vendor Management System (VMS) to manage contingent workforce and services procurement programs. The platform provides customers ability to manage their complete external/non-employee workforce, including contingent labor, Statement of Work (SOW) and independent contractors. Simplify is built in latest technology stack including strong focus on mobile.

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