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Data Scientist (ML/NLP)

3.00 to 7.00 Years   Bangalore   08 Nov, 2020
LexInnova Technologies
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryLegal
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Description AI team at Ultria is working on state of the art Natural Language Processing technologies including document structure detection, domain specific neural embeddings, deep neural network architectures for extraction and classification tasks etc. We are looking for a passionate data scientist to develop new statistical models for delivering high-quality NLP products.

RESPONSIBILITIES:

  • Identify new opportunities to apply Machine Learning to different parts of the product
  • Develop advanced algorithms to solve problems of high dimensionality in a computationally efficient and statistically effective manner
  • Have responsibility for the creation and development of our Text Analytics strategy and software
  • Take end to end ownership of Machine Learning products
  • Partner with other teams such as Data, Design and Product to collaborate on projects across the company
  • Work with the engineering management team to develop new initiatives and improve existing processes across the entire engineering team
  • Implement small and large scale projects in Advanced Analytics to help derive business insights for measurable success
  • Evaluate emerging datasets and technologies that may contribute to our products

Requirements

  • 3 -7 years of strong Python development experience
  • 3+ years of experience in Machine Learning/Deep Learning, specifically in NLP and text analytics domain including:
  • Extracting, cleaning and embedding text data
  • Text classification
  • Entity extraction/NER
  • Text summarization
  • Similarity and sentiment analysis
  • Topic modelling
  • Research experience in machine learning or natural language processing
  • Experience in deploying ML projects in production environment
  • Strong statistical analysis skills and demonstrated experience in deriving insights from unstructured data
  • Ability to run experiments scientifically and analyze results
  • Good understanding of ML tools/libraries like: Tensorflow, Keras, Pandas, Spacy, Pytorch, NLTK, SkLearn etc
  • Knowledge of big data technologies like Hadoop, Hive, Scala or Spark is preferred
  • Strong collaborative mindset
  • Excellent critical thinking and problem solving skills
,

Keyskills :
machine learningpythondata analysissqlanalyticsmaster data managementnatural language processingbig datamaster datatext analyticsdata integritydata managementproblem solvingdata governancenatural languageunstructured datacritical thinking

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