Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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На СНГ рынке: $3.1к/мес ($2.1к - $3.4к)
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Понятные задачи, практический продукт на основе цифровых двойников и возможность улучшать процессы внедрения делают вакансию сильной, хотя в ней сочетаются работа с данными, QA, отчетность и коммуникация с заказчиками.
?Разноплановые задачи
Актуальный стек
Польза для энергетики
Влияние на продукт
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Implementation Engineer (Digital Twin): Transforming utility and geospatial datasets into high-accuracy digital twin models of electricity networks with an accent on GIS, LiDAR, asset data, and engineering-grade validation. Focus on configuring models with a schema language, resolving complex data discrepancies, building utility reports and dashboards, and supporting large-scale platform deployments.
Location: Remote from Romania
Salary: €3,000–€4,000 per month
Company
hirify.global uses machine learning and physics-enabled digital twins to model electricity grids, helping utilities assess infrastructure risks, optimize investments, and prepare for extreme weather.
What you will do
Contribute to end-to-end deployment of the hirify.global platform for utility customers worldwide.
Ingest and manipulate large LiDAR, GIS, and asset datasets using hirify.global’s schema language and configuration framework.
Perform rigorous QA/QC to ensure digital twins accurately represent real-world physics and customer specifications.
Build custom reports and dashboards for utility engineers.
Work with Product and Engineering on process and tooling improvements, including deployment automation.
Requirements
Proven experience as a Data Engineer, Implementation Engineer, Integration Engineer, Software Engineer, or in a similar role.
Proficiency in at least one major programming or data language, such as SQL or Python, and the ability to learn a new language.
Ability to learn and use a schema language to manipulate data and build reports.
Excellent written communication skills, including experience contributing to internal knowledge bases and external user manuals.
Fluent English required for clearly explaining technical configurations to diverse audiences.
Ability to break down complex data discrepancies and systematically reconfigure models to achieve 100% accuracy.
Nice to have
Background in engineering, mathematics, software engineering, computer science, or a related field.
Familiarity with GIS, CAD geoprocessing, or LiDAR data.
Culture & Benefits
Work on technology that supports the safety and reliability of global power grids and helps utilities prepare for climate-driven weather events.
Develop expert-level proficiency in an engineering-grade 3D modeling environment and digital twin technology.
Join a fast-scaling delivery team with opportunities to influence the product roadmap.
Help automate core deployment processes.
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