Назад
Company hidden
20 часов назад

ML/MLOps Engineer (Healthcare)

4 100 - 6 475
Формат работы
remote (только Germany)/hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
b1
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

ML/MLOps Engineer (Healthcare): Building and orchestrating cloud-native ML infrastructure for healthcare AI platforms with an accent on Kubeflow pipelines, LLM fine-tuning, and scalable data processing. Focus on developing secure, zero-trust ML environments, managing GPU resources in Kubernetes, and ensuring high-performance model training.

Location: Must be based in Germany (Remote, Hybrid, or Onsite options available).

Salary: €4,100–€6,475 gross per month.

Company

hirify.global is a global software development company providing digital solutions and consulting services across various industries including healthcare, fintech, and retail.

What you will do

  • Build and orchestrate ML pipelines using Kubeflow Pipelines (KFP v2).
  • Train models on GPUs and manage GPU resources within Kubernetes.
  • Fine-tune transformers and LLMs while tracking experiments via MLflow.
  • Develop classic ML models using XGBoost and CatBoost.
  • Process large datasets using SQL Server and DuckDB in a secure, zero-trust environment.
  • Ensure code quality through rigorous testing and GitLab CI/CD practices.

Requirements

  • 5+ years of experience as an ML or MLOps Engineer.
  • Hands-on experience with Kubeflow Pipelines (KFP v2) and MLflow.
  • Deep proficiency in Python and modern engineering practices.
  • Experience training models on GPUs and fine-tuning LLMs.
  • Experience working in regulated or enterprise cloud-native environments.
  • English level: Intermediate+ (B1+).

Nice to have

  • Pre-training experience for LLMs.
  • Experience with GPU orchestration in Kubernetes.
  • Knowledge of zero-trust network policies and container security.
  • Familiarity with DuckDB and modern Python tooling like uv.

Culture & Benefits

  • Flexible work arrangements: fully remote, hybrid, or office-based.
  • Private health insurance and sports activity compensation.
  • Access to a corporate training portal and certification compensation (AWS, PMP, etc.).
  • Mentoring and adaptation systems for professional growth.
  • Active corporate life including team events and office perks.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →