Required Skills

Javascript Predictive modeling Forecasting SQL Python Business operations

Work Authorization

  • Citizen

Preferred Employment

  • Full Time

Employment Type

  • Direct Hire

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 8th Dec 2022


  • Develop, design and build models using Machine Learning and Deep learning
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Running machine learning tests and experiments.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation etc.
  • You are expected to pick up the necessary skills and contribute towards a successful product execution.
  • Minimum 3+ Experience in machine learning techniques for addressing various problems (e.g. transaction categorization, revenue forecasting, image classification, text extraction, anomaly detection etc.)
  • Experience with machine learning algorithms (e.g. k-nearest neighbours, random forests, ensemble methods, deep neural networks, SVM, etc.) and when it is appropriate to use each technique.
  • Building machine learning models and systems, interpreting their output and communicating the results
  • Proven strong problem-solving skills with an emphasis on analytical/machine learning product development.
  • Experience in Python and Data science libraries like Keras, Tensor Flow, Pytorch, Scikit Learn. Numpy, Pandas
  • Experience in Visualization libraries using Python (Matplotlib, Seaborn, bokeh, etc.), JavaScript (d3) or PowerBI
  • Experience in Data Storage Processing technologies, including SQL, NoSQL, Hadoop, Postgres, Spark
  • Experience in NLP
  • Strong focus on fast and incremental value delivery
  • Ability to work alone and have an ownership mentality
  • We are polyglots, so a willingness to learn new technologies is a must.
  • NLP with text-based extraction techniques
  • Data warehousing

Company Information