Date Posted:
Salary:
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Job Description

  • Create AI/ML model to generate recommendation, prediction, pattern/seasonal
data analysis, and inference missing value/data.

  • Train and test newly created model and maintain its validity (AIOPS) & model
versioning.

  • Coordinate with IT team to deploy created model.
  • Analyze current dataset to improve derivative data or required data that might help future requirements.
  • Calculate/analyze data with statistical methodology.
  • Generate new insight or ways to get insight from current data.
  • Give recommendation for current data or model required to improve data quality or
insight.

  • Normalize data or distribution of data.
  • Programming language (Python, R, SQL, NLP).
  • Google cloud platform (BigQuery, AutoML, Collab, Data Studio, CloudStorage).
  • Models/library such as: Text classification, regression, XGBOOST, clustering, Keras,
Pandas, outlier detection, etc.

  • Calculate statistical requirements such as (quartile, mean, bell distribution, and
other statistical mean on requested or issued data) to generate level of confidence

or other fact parameters of the data.

  • Create, maintain, and publish modelling documentation.
  • Having Knowledge of Tensorflow and other tech stack like DataFlow, Apache
Airflow, Kubernetes will be a plus points.

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Job Detail

  • Job Id
    b647deb43a236678
  • Location
    id
  • Company
  • Type
    Private
  • Employment Status
    Permanent
  • Positions
    Available
  • Career Level
    Experience
  • Gender
    Male/Female

Contact

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