Data Science Engineer - Working Student

LIME medical GmbH
Mainz, Germany
2 days ago

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Mainz, Germany

Tech stack

Computer Vision
Big Data
Python
Machine Learning
Data Processing
Large Language Models
Information Technology
Data Pipelines

Job description

Join our mission and enable patients to receive 10X more therapy time through our AI therapist, who guides patients through their training plans and monitors their exercises:

  • Identify, extract and process data from relevant data sources for model development
  • Researching and selecting suitable image data sources
  • Managing the end-to-end image data collection and preparation process including filtering, extraction, cleaning, structuring, and quality checks.
  • Analyzing image datasets using ML models to validate data quality and labeling plausibility.
  • Designing prompt/query logic for LLM-driven automation of meta-labeling processes.
  • Research methods to collect video data for ML training
  • Creating audit-ready documentation to support compliance and internal audits.
  • Validating and quality-checking annotations
  • Ensuring consistency, completeness, and adherence to internal annotation guidelines, and providing structured feedback
  • Documenting quality findings to support continuous improvement of data quality
  • Collaborate closely with our software and product teams
  • Continuously develop yourself and think outside the box

Requirements

Do you have experience in Python?, Do you have a Master's degree?, * We are looking for a long-term working relationship

  • You are currently pursuing a Bachelor's or Master's degree in Computer Science or a related field, ideally in the early stages of your studies
  • You have solid experience with Python
  • You have exposure to or hands-on experience in one or more of the following areas:
  • machine learning, computer vision, data pipelines
  • You are comfortable working with shared codebases.
  • Experience in data science or working with large datasets is a plus.
  • Familiarity with clean coding principles is appreciated.
  • You are curious and creative - you question the status quo and actively contribute your ideas.

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