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5 дней назад

ML/MLOps Engineer in Germany (AI)

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
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Описание вакансии

Текст:
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TL;DR
ML/MLOps Engineer in Germany (AI) (Kubeflow/Python): Building a cloud-native MLOps platform for healthcare machine learning and AI workloads with an accent on GPU-based model training, LLM fine-tuning, and secure Kubernetes infrastructure. Focus on orchestrating scalable ML pipelines, managing experiments and models with MLflow, processing large datasets, and implementing zero-trust engineering practices.

Location: Germany; fully remote, office-based, or hybrid work is available.

Salary: €4,100–€6,475 gross per month, depending on experience, location, and professional growth.

Company

hirify.global is a software engineering and consulting company delivering digital, data-driven, and operational solutions for healthcare and other industries.

What you will do

  • Build and orchestrate ML pipelines with Kubeflow Pipelines KFP v2.
  • Train models on GPUs and manage GPU resources in Kubernetes.
  • Fine-tune transformers and LLMs, and track experiments and models with MLflow.
  • Develop classic machine learning models with XGBoost and CatBoost.
  • Develop Python pipelines, integrations, and tooling; work with SQL Server and DuckDB for large-scale data processing.
  • Maintain code quality through testing and GitLab CI/CD while working in a zero-trust, secure-by-default environment.

Requirements

  • 5+ years of experience as an MLOps Engineer or ML Engineer.
  • Hands-on experience with Kubeflow Pipelines KFP v2, GPU model training, LLM or transformer fine-tuning, and MLflow.
  • Experience with XGBoost or CatBoost, Python, SQL, and large-scale data processing.
  • Experience in regulated or enterprise cloud-native environments, plus clean-code, testing, and CI/CD practices.
  • English at Intermediate+ level or above and German at Upper-Intermediate level or above are required.

Nice to have

  • LLM pre-training experience beyond fine-tuning.
  • GPU orchestration in Kubernetes and experience with zero-trust environments.
  • Knowledge of DuckDB and modern Python tooling such as uv.

Culture & Benefits

  • Flexible choice between remote, office-based, and hybrid work.
  • Professional, financial, and career development supported by mentoring and onboarding programs.
  • Corporate training portal and compensation for professional certifications such as AWS and PMP.
  • Private health insurance and sports activity compensation.
  • Annual bonus opportunities, including up to an additional $1,000 per month for participation in company activities.
  • Referral program and corporate events.

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