Machine Learning Innovator

11 hours ago


Tiruppur, Tamil Nadu, India beBeeData Full time US$ 2,50,000 - US$ 3,00,000

Machine Learning Innovator

We are seeking a talented and passionate Machine Learning Innovator to join our team. As a key member of our data-driven organization, you will play a crucial role in developing cutting-edge machine learning and data analytics solutions that drive business growth and innovation.

Responsibilities:

  • Design and build scalable Big Data infrastructure and machine learning models for global-scale digital map-making processes.
  • Develop and test advanced analytic and statistical models to improve internal data-driven processes and system control needs.
  • Serve as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling.
  • Lead predictive modeling or application teams on Core Map projects.

Requirements:

  • Master's or Ph.D. in Statistics, Applied Mathematics, Computer Science, or Econometrics with emphasis on computational statistics/science/engineering, data mining, machine learning, and optimization.
  • Minimum 7+ years related professional experience.
  • Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc.
  • Expert-level knowledge in one or more areas.
  • Proficiency with statistical analysis packages like Python, R, Matlab, SAS, etc.
  • Programming experience with SQL, shell script, Python, etc.
  • Familiarity with tools like Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis.
  • Experience interacting with both internal and external stakeholders to explain predictive systems and techniques.
  • Demonstrated proficiency in understanding, specifying, and explaining predictive modeling solutions and organizing teams to execute projects delivering those solutions.

Preferred Qualifications:

  • Development experience with Scala.
  • Development experience with Docker.
  • Development experience with GIS data.
  • Development experience with NoSQL (i.e. DynamoDB).


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