Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
142к-264к PLN/год
220к PLN270к PLNмедиана310к PLN
По похожим ролям (49) ~ 270к PLN/год
На СНГ рынке: $3.7к/мес ($3к - $4.3к)
65
Хорошая вакансия
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Чёткий фокус на инженерии данных для LLM и работа с ИИ в здравоохранении выглядят привлекательно, но указанная зарплата заметно ниже ориентира платформы для похожих senior-позиций.
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Ниже рынкаСовременные технологииПерспективная сфераПонятные задачи
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (Large Language Models) (LLM/Snowflake/AWS): Building and operating scalable data pipelines and platform integrations for large-scale healthcare model training, evaluation, and experimentation with an accent on data transformation, high-performance compute, and dataset management. Focus on implementing data lineage and versioning, scaling research workflows to production, and integrating data platforms with MLOps and model registries.
Location: Warsaw, Poland
Salary: PLN 142,100–263,800 annualized base pay
Company
hirify.global is a global provider of clinical research services, commercial insights, and healthcare intelligence for the life sciences and healthcare industries.
What you will do
Support data engineering initiatives for large language model platforms, including onboarding and transforming large-scale healthcare datasets for model training and evaluation.
Design, evaluate, and evolve data transformation pipelines across Snowflake and AWS-based environments, including scaling research workflows for production.
Enable data availability and migration to high-performance compute environments while maintaining accessibility, performance, and version control.
Implement data lineage, dataset versioning, and reference management to ensure reproducibility and traceability across training and evaluation pipelines.
Collaborate with modelling, MLOps, and infrastructure teams on model lifecycle workflows, evaluation pipelines, and model registry integrations.
Coordinate with stakeholders to define data requirements and delivery timelines.
Requirements
Strong experience in big data engineering and distributed data processing.
Hands-on expertise with Snowflake/Snowpark, AWS data services, and large-scale datasets.
Experience supporting ML/AI workloads, including data pipelines for model training and evaluation.
Culture & Benefits
Access to advanced technologies, large datasets, analytics tools, and healthcare industry expertise.
Opportunities to develop a career across diverse geographies, capabilities, therapeutic areas, information, and technology domains.
Work supporting healthcare clients and contributing to improved patient care and health outcomes.
Inclusive and respectful workplace culture focused on diversity, belonging, and equal opportunity.
Base pay may be supplemented by incentive plans, bonuses, and health and welfare benefits depending on the position.
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