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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Понятная зона ответственности, современный стек и работа над реальными ML-системами для снижения энергопотребления делают вакансию привлекательной. Зарплата не указана, а требование проводить в офисе три дня в неделю ограничивает гибкость.
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Зарплата не указанаСовременный стекПонятная рольКлиматический эффектТри дня в офисе
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer – AI Team (Data & ML) (AI/Data Engineering): Improving the optimisation model for building heating, cooling and ventilation while building the data pipelines and platform that run it, with an accent on production machine learning, scalable data systems and model explainability. Focus on training and evaluating models, deploying and monitoring AI systems, and visualising building data and model decisions for internal teams and customers.
Location: Stockholm, Sweden; hybrid work with at least 3 days per week at the Södermalm office
Company
hirify.global develops AI products that optimise heating, cooling and ventilation in buildings to reduce energy use and emissions while maintaining comfort.
What you will do
Improve the optimisation model, including data, features, training, evaluation and real-building performance.
Build and operate data pipelines and the AI platform for ingestion, processing, orchestration, deployment and monitoring.
Visualise building data and model decisions so internal teams and customers can understand how the system works.
Collaborate with Platform, Product, Customer Success and external partners to define and solve problems.
Use AI coding agents to write, test, review and ship software, while validating their output.
Own solutions from initial design through production operation and ongoing improvement.
Requirements
Strong software engineering experience building and operating production systems.
Experience with data engineering and large-scale pipelines using Spark, Airflow or similar tools.
Daily experience using coding agents independently for development, testing, review and verification.
Comfort with Linux, command-line tools, system design and production troubleshooting.
Product orientation, clear communication and the ability to explain technical concepts through words and visualisations.
Availability to work in a hybrid setup with at least 3 days per week in the Stockholm office.
Nice to have
Cloud experience, ideally with Azure.
Experience with time-series data or deploying machine learning models to production.
Knowledge of buildings, HVAC or energy systems.
Experience in a B2B SaaS scaleup.
Culture & Benefits
Work on AI systems that reduce energy use and emissions in real buildings.
Friendly, relaxed workplace with close collaboration in a small, senior team.
Direct impact on customer-facing products and substantial influence over AI tools, working methods and architecture.
Competitive salary and stock options.
Hiring process
Submit a CV without a cover letter.
Answer questions about a production system you built and how you use AI agents in your work.
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