Job description

Key skills

  • Must have 2-3 years of work experience in the following
  • Hands-on experience in Data Science Libraries like Tensorflow, Keras, Open CV, Caffe, Spacy, Tesseract, Scikit etc.
  • Strong Knowledge of Python
  • Prior experience in Computer Vision, NLP, Transformers, NER, Neural Networks- RNN, CNN, LSTM
  • Hands on Experience in Image processing , OCR, Object Detection
  • Hands on Experience working in Machine learning and Deep Learning
  • Hands on Experience in manipulating/transforming data, model selection, model training, cross- validation and deployment at scale.
  • Hands on Experience on working with Multi-lingual data.
  • Hands on Experience in Indian Address/Name string matching , translation and transliteration.
  • Hands on experience in Advance Excel
  • Proficiency with data mining, mathematics, and statistical analysis
  • Advanced pattern recognition and predictive modeling experience
  • Knowledge of Py-Spark

Role – Experience in using statistical computer languages like Python to manipulate data and draw insights from large data sets

  • Work with stakeholders throughout the organization to identify opportunities for
    leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Also, set up data infrastructure .
  • Assess the effectiveness and accuracy of new data sources and data gathering
    techniques. Source the missing data.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Create visualizations of data

Joining : immediate

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