IHUB SOLUTIONS PTE LTD

Artificial Intelligence and Machine Learning Engin...

Job description

About Us

A leading Log-Tech (Logistics and Technology) provider, iHub Solutions has a regional presence in Singapore, Malaysia, Hong Kong, Thailand, and the Philippines. We meet the complex supply chain needs of today’s digital economy by integrating unique IT infrastructures, deep data analytics, and eCommerce connectivity into our business processes. With an online dashboard system driven by comprehensive process workflows (ISO 9002 standards), we offer clients the ability to track daily service performance at any time, any place. To learn more about us, visit our website at ihubsolutions.com

Requirements:

  • Experience in working with large datasets with statistical analysis
  • Capability to identify and troubleshoot potential Business issues
  • Experience in Data Science/Machine Learning
  • Familiarity with a broad set of modeling techniques: aptitude in mathematics, probability, algorithms, experimentation methods, hypothesis testing
  • Hands-on programming/implementation ability in R/Python/Java, NO-SQL DBs
  • Knowledge of Big Data Tools: Real-Time streaming engines, Messaging Queues, Hadoop, PySpark (added advantage)
  • Ability to write production-level code and experience pushing machine learning models to production

The Essentials:

  • 2 years of experience building data science models (Regression, Decision Trees, K-Means, ensemble models, Neural Network, etc.)
  • 2 years of hands-on experience with commercial applications of machine learning
  • Hands-on experience with Text mining and Computer vision techniques
  • Experience with large data sets and analytical tools
  • Other desired qualifications: Strong curiosity, leadership, and business acumen
  • Passionate about using data to drive strategy and product recommendations
  • In-depth knowledge of statistics and machine learning algorithms
  • Curious and careful about the business impact of their work
  • Able to work collaboratively and proactively

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