- Location
- Veszprém, Veszprém, Hungary · Hungary
- Type
- Full-time
- Department
- IT
Description
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
The Position
As a Machine Learning Data Builder 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. 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
- 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
What We Are Looking For
- 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
Why You'll Love Working Here
- Innovative Environment: Join a team at the forefront of cybersecurity innovation. At OPSWAT, you'll have the opportunity to work with cutting-edge technologies and contribute to solutions that shape the future of cybersecurity.
- Collaborative Culture: We foster a culture of collaboration, where every team member's input is valued. You'll have the chance to work alongside talented individuals who are passionate about cybersecurity and dedicated to making a difference.
- Professional Growth: At OPSWAT, we prioritize the growth and development of our team members. You'll have access to ongoing training and development opportunities to enhance your skills and advance your career in cybersecurity.
- Impactful Work: Join a mission-driven company that is committed to securing the digital world. Your work at OPSWAT will have a meaningful impact on organizations worldwide, protecting critical data and assets from evolving cyber threats.
- Fun and Dynamic Atmosphere: We believe in fostering a fun and dynamic work environment. From team-building activities to social events, you'll have plenty of opportunities to connect with your colleagues and enjoy the journey together.
OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.
Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.
