Назад
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9 дней назад

Data Engineer (Large Language Models)

142 100 - 263 800PLN
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
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
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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