ML Evaluation & Data Pipelines Intern

Upsilon Holdings; Hours; On-site; EUR 6,700 - 11,000; Full time

Job summary

Upsilon Holdings is offering an internship focused on ML evaluation, data prep, prompt/retrieval experiments, and dashboards to understand model behavior in real usage. You’ll run evaluation harnesses, support experiments, and translate ML results into product decisions, while improving pipeline reliability with logging and documentation.

The role welcomes curiosity and detail-oriented learners. Required: Python basics, data handling, curiosity about model evaluation, and strong attention to

Qualifications

• Experience with Python and data analysis.
• Interest in ML evaluation and model behavior.
• Strong attention to repeatable results.

Responsibilities

• Run evaluation harnesses and track quality changes over time.
• Support prompt, retrieval, and dataset iteration experiments.
• Help produce concise reports translating ML results into product decisions.
• Improve reliability of pipelines: logging, consistency checks, and documentation.

Skills

Python basics

Data handling

Model evaluation curiosity

Attention to detail

Python debugging

Tools

Vector search

Embeddings

Dashboards

Notebook workflows

LLM tooling basics

Job description

Upsilon Holdings is offering an internship focused on ML evaluation, data prep, prompt/retrieval experiments, and dashboards to understand model behavior in real usage. You’ll run evaluation harnesses, support experiments, and translate ML results into product decisions, while improving pipeline reliability with logging and documentation.

The role welcomes curiosity and detail-oriented learners. Required: Python basics, data handling, curiosity about model evaluation, and strong attention to