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