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Data Science Engineer

Summary

Build, validate, and deploy ML/DL/GenAI models in production, design data pipelines, and partner with stakeholders to turn business needs into technical solutions.

Summary:
  • MNC

  • Monday to Friday, 8.30am - 5.30pm

  • UP$3500-$4300

  • AWS+VB

  • Pioneer Cres, company transport provided island-wide

Responsibilities:
  • Develop, validate, and deploy Machine Learning, Deep Learning, and Generative AI models for production environments

  • Partner with business stakeholders to gather requirements and define project objectives

  • Design and implement data pipelines for data preprocessing, model training, evaluation, and deployment

  • Perform data validation and support data quality improvement initiatives

  • Monitor, maintain, and improve models and analytical systems

  • Prepare clear reports and presentations to communicate findings and recommendations

  • Provide technical support and documentation for deployed solutions

Requirements:
  • Bachelor's Degree in Computer Science, Data Science, Science/Engineering field or equivalent

  • Possessing data analytics or machine learning experience will be of advantage

  • Proficiency in Python and standard data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, Keras)

  • Working knowledge of SQL and relational databases (e.g., PostgreSQL, Oracle) will be preferred

See also

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