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.

On behalf of our client, we are looking for a driven and passionate Machine Learning Engineer who 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. We've had a strong presence in Veszprém for over a decade, and we're now expanding into Budapest, this role is based in our newly opening Budapest office, right at the start of that growth.

You Will Have the Opportunity to

• Train and fine-tune models against curated datasets; run systematic hyperparameter and architecture experiments
• Build and maintain evaluation suites: regression tests for model behavior, benchmark tracking across model versions
• Analyze model failures (false positives/negatives) and translate findings into dataset or training improvements
• Package models with documentation, benchmarks, and reproducible evaluation results for Engine team handoff
• Contribute to internal tooling for experiment tracking and model comparison

Requirements

• 2+ years ML engineering or applied data science experience
• Strong Python; hands-on experience with modern training and fine-tuning workflows
• Experience with structured model evaluation (not just accuracy, precision/recall tradeoffs, drift, edge-case analysis)
• Comfortable working against defined acceptance criteria and production constraints

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