Internship - LLM-Based Information Extraction (Zurich, Switzerland)
Zürichonsitejunior
Posted 3w ago · via Workable
About this role
Fixed-term contract (typically 3 months) · 80–100% · Zürich · Students (Bachelor, Master or PhD level) «Making sense of data is the winning competence in all industries.» We build D ONE with the belief that every company will be a data company. Since our beginnings, we help our clients to make sense of their data and generate value. In this internship you will work independently on a topic in the area of automated understanding of business documents. You will move from raw, messy documents to structured, verifiable information, and make the approach hold up across domains. Your tasks will include: Reviewing current approaches to information extraction from unstructured and semi-structured documents. Designing and implementing extraction pipelines in clean, modular, well-tested Python.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, sql, azure, spark, git…
2
Level fit
This role is junior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Zürich. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonsqlazuresparkgitjson
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