Machine Learning Data Builder

Stack

Responsibilities

• ▹Build and maintain dataset ingestion, cleaning and versioning pipelines
• ▹Design and operate labeling workflows with quality control
• ▹Own dataset testing: coverage analysis, class balance, leakage detection
• ▹Manage dataset versioning and lineage for every model release
• ▹Partner with data science and product engineering on data-sharing formats

Requirements

• ▹3+ years data engineering experience; strong Python and SQL
• ▹Experience with data versioning tools (DVC, LakeFS or similar) and orchestration (Airflow, Dagster)
• ▹Understanding of ML-specific data concerns: train/test leakage, label noise, distribution shift
• ▹Rigor in documentation and reproducibility

What we offer

• ▹Stable, growing international company background with an exceptional customer group
• ▹Opportunity to improve professional skills
• ▹Newest technology environment
• ▹Language course and active recreation - kettlebell, football, office massage
• ▹Attractive working environment (fruits, coffee, breakfast, tea)
• ▹Regular team events and Happy Hour activities

About the company

A global leader in cybersecurity for IT, OT and ICS critical infrastructure, trusted by 1700+ organizations over 20+ years; expanding from Veszprém into a new Budapest office.