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16 часов назад

Experienced Data Analyst (Machine Learning)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Experienced Data Analyst (Machine Learning): Developing validation infrastructure, tools, and methods for a machine-learning and image-processing-based mapping and localization engine with an accent on advanced analytics, geometric calculations, and cloud-based applications. Focus on automating algorithm validation, integrating cross-department tools, and improving the sensitivity, efficiency, and quality of validation processes.

Location: Jerusalem, Israel; hybrid workplace

Company

hirify.global develops mapping and localization technology for autonomous driving capabilities and services.

What you will do

  • Plan and implement advanced validation processes for complex machine-learning and image-processing systems.
  • Define and develop end-to-end validation tools and methods using geometric calculations, logic, and heuristics.
  • Integrate new features, tools, and algorithms into existing validation infrastructure.
  • Improve the sensitivity, efficiency, effectiveness, and quality of validation processes.
  • Manage and prioritize daily tasks while coordinating integrations across departments.

Requirements

  • BSc in Computer Science, Mathematics, or a similar field.
  • 3+ years of experience designing, implementing, and automating algorithm validation or software testing, especially performance testing for complex, data-intensive, or machine-learning algorithms.
  • Experience with Python, NumPy, SciPy, Matplotlib, and Pandas.
  • Strong analytical and data-processing skills.
  • Knowledge of descriptive statistics, probability, and statistical inference.
  • Fluent English required.

Culture & Benefits

  • Work in an R&D data and analytics department focused on Road Experience Management.
  • Contribute to technology supporting semi-autonomous and fully autonomous vehicles.
  • Use cutting-edge technology and cloud-based applications.
  • Work in a challenging environment involving complex validation and analysis problems.

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