HomeData Science JobsJio | Hiring | Data Science Engineer | BigDataKB.com | 07-04-2022

Jio | Hiring | Data Science Engineer | BigDataKB.com | 07-04-2022

Job Location: Hyderabad/Secunderabad

Education

  • Graduate degree in Computer Science, Engineering, Mathematics or equivalent, specializing in machine learning or a related field
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Experience

  • 2 to 6 years experience in developing the solutions leveraging AI technologies: Machine Learning, Deep Learning & NLP and putting them in production.
  • The candidate should be proficient in
  • Languages : Python and R (Python is must)
  • Machine Learning & Deep Learning frameworks: sklearn, Tensorflow , keras, Pytorch (any 3)
  • Time Series: ARIMA, SARIMA, FBProfet (any two)
  • NLP: NLTK, Gensim, Spacy, Count Vectorizer, TF-IDF, Word2Vector and BERT (any 3)
  • ML Ops, Kubernetes, Docker, Azure Devops and CI/CD Pipelines (good to have)
  • API Framework: Fast API and Flask etc. (any one)
  • BI : PowerBI, Grafana, Apache superset (any one)
  • Experience in developing end-to-end models using machine learning for predictive modelling in a business/industry environment, i.e. feature engineering, model creation and evaluation
  • Should be able to write clean, elegant and maintainable production-level code in Python and R, and experienced in version control, testing and refactoring
  • Should have firm grasp and demonstrable experience on the principles of the model development lifecycle and producing machine learning models that stand up to statistical rigor
  • Experience with designing, building, and optimizing data and model training pipelines
  • Should be able to work constructively in a fast-paced, collaborative, matrixed team environment
  • Should have strong work ethic and passion for excellence.

Basic Function

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  • This role is part of the Enterprise Architecture organization. Data Science Engineers will be involved in a variety of projects to incorporate Artificial Intelligence and Machine Learning technologies in various state-of-the art products and solutions within enterprise businesses.

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