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21 minutes ago
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sql machine learning go data science gradient boosting
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📋 Description

  • Develop data-driven algorithms for the Fingerprint Identification Service, applying ML techniques
  • Lead the design and implementation of supervised, semi-supervised, and unsupervised learning
  • Own data science projects end to end, from concept and experimentation through deployment into our
  • Design experiments and solutions for ML engineering challenges such as real-time model inference
  • Conduct exploratory data analysis to investigate ad-hoc questions and address anomalous data.
  • Help build an engineering-focused, data-driven culture across the team by sharing tools and

🎯 Requirements

  • 5+ years of experience across machine learning, data science, and backend development.
  • Advanced foundations in machine learning and statistical methodologies.
  • Strong experience with supervised learning, including gradient boosting and handling
  • Practical experience with semi-supervised and unsupervised learning techniques.
  • Proficiency in exploratory data analysis, and creative problem-solving for dataset collection and
  • Strong expertise in real-time ML service development, including real-time inference and
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