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3 часа назад

Working Student Machine Learning (all genders)

Формат работы
onsite
Тип работы
parttime
Английский
c1
Страна
Germany
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
Working Student Machine Learning (all genders) (Python/LLMs/ASR): Integrating and evaluating machine learning models for clinical workflows with an accent on production ML, clinical datasets, and privacy-preserving training. Focus on building robust ML pipelines, fine-tuning LLM and ASR systems, and embedding AI features into healthcare software.

Location: Munich, Germany; on-site

Company

Develops modular healthcare software that digitizes and optimizes hospital workflows and enables better clinical operations.

What you will do

  • Collaborate with development teams to bring machine learning systems into production.
  • Design and train models on large-scale clinical datasets.
  • Integrate LLMs, ASR, RAG, embeddings, and related AI solutions into medical workflows.
  • Evaluate, benchmark, and fine-tune models for clinical use cases.
  • Explore federated machine learning for privacy-preserving training.
  • Build reliable, high-performance ML pipelines using high-performance computing infrastructure.

Requirements

  • Currently enrolled in informatics, computer science, or a related field.
  • Strong coding skills, especially in Python.
  • Experience with PyTorch, Hugging Face, LangChain, Pydantic, LLMs, ASR models, RAG pipelines, or vector databases such as Qdrant.
  • Fluency in English required; German is a plus.
  • GitHub contributions.
  • Interest in applying emerging technologies to real-world clinical challenges.

Nice to have

  • Publications at top conferences or demonstrated cutting-edge results in applied machine learning, such as speech recognition or NLP.
  • German language skills.

Culture & Benefits

  • Part-time role with flexible working hours and varied responsibilities.
  • Personal development through continuous learning and feedback.
  • Opportunity to transition to a full-time role after successful collaboration.
  • International, informal team structure in a startup environment.
  • Monthly meal allowance of up to €75 and access to Corporate Benefits discounts.

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