About the role
Our client is a global leader in cybersecurity for IT, OT, and ICS critical infrastructure. Their end-to-end platform gives enterprises and public sector organizations the critical advantage they need to protect complex networks, secure devices, and meet compliance requirements.
Over the past 20 years, a consistent commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions worldwide — cementing the company's role in protecting the world's critical infrastructure and securing our way of life.
As a Machine Learning Engineer you will own the data foundation the team runs on: dataset pipelines, labeling workflows, and data quality. Model quality is bottlenecked by data quality; this role removes that bottleneck.
You Will Have the Opportunity to
- Build and maintain dataset ingestion, cleaning, and versioning pipelines (training, validation, and held-out evaluation sets) - Design and operate labeling workflows, including quality control and inter-annotator agreement tracking - Own dataset testing: coverage analysis, class balance, leakage detection, dataset documentation - Manage dataset versioning and lineage so every model release traces back to exact training data - Partner with data science and product engineering teams on data-sharing boundaries and formats
Requirements
- 3+ years data engineering experience; strong Python and SQL - Experience with data versioning tools (DVC, LakeFS, or similar) and pipeline orchestration (Airflow, Dagster, or similar) - Understanding of ML-specific data concerns: train/test leakage, label noise, distribution shift - Rigor in documentation and reproducibility
Benefits
- Stable, growing international company background with an exceptional customer group - Opportunity to improve your professional skills - The newest technology environment - Language course and opportunity for active recreation – kettlebell, football and office massage - Attractive working environment – nice office full of accessories (fruits every day, coffee, breakfast, tea etc.) - Regular team events and Happy Hour activities
Text as published by MP Solutions Ltd.. We don't edit postings; apply and ask questions on the employer's site.