Senior Machine Learning System Builder

3 нед. назад

HungaryEuropeSeniorOnsite

machine learningdata pipelinesmodel deploymentfeature extractiontelemetry

Senior Machine Learning System Builder responsible for end-to-end detection capabilities development for cybersecurity solutions.

Требования

3+ years applied ML experience across at least two of: text/content classification, computer vision, similarity search / embedding models, security or threat detection
Evidence of end-to-end delivery: models you personally took from data to production, running in systems used by other teams or customers
Experience building data pipelines for model training: data collection, labeling and ground truth management, feature extraction, dataset versioning
Strong Python; PyTorch or TensorFlow; experience with model evaluation frameworks
Solid grounding in statistics and experiment design, including evaluation under distribution shift
Comfort working across the integration boundary (for example, ONNX consumption from JVM services) rather than stopping at the model artifact
Fluency with AI coding and agent tooling, and a track record of automating your own workflow with it
Excellent communication and collaboration abilities; fluent in English

Другое

, 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.
As a Senior Machine Learning Systems Builder you own detection capabilities end to end: from problem framing and data, through experimentation, to models running in production and the telemetry that proves they work for customers. 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.
Own detection capabilities from idea to customer impact across the AI/ML detection portfolio: threat similarity search (behavioral, code-structure, and static features), URL reputation, image-based phishing and brand-spoofing detection, web threat classification, and content classification
Build and maintain the data pipelines your models depend on: sample sourcing and collection, ground truth and labeling workflows, feature extraction, and versioned training and evaluation datasets
Design, train, fine-tune, and evaluate models, and see them through to production: versioned, runtime-portable artifacts (e.g., ONNX) consumed from the JVM-based backend, with input/output specifications, performance benchmarks, and documented limitations
Build an automated model build and release pipeline, in the likes of SageMaker Pipelines: reproducible training runs, automated evaluation gates, and versioned artifact publishing, so that retraining and releasing a model is a routine operation rather than a project
Own model quality in production, not just at release: telemetry feedback loops, false positive escalations, drift monitoring, and retraining cadence
Design evaluation methodology for an adversarial, drifting domain: time-split validation, strict false positive ceilings, and robustness against evasion
Automate the ML lifecycle with AI: use AI-assisted development daily, and build agentic automation for repetitive work such as labeling assistance, evaluation runs, regression testing, and reporting
Set your own experimentation roadmap, prioritized by measurable customer-facing detection gains, and share what you learn openly across the team
Innovative Environment : Join a team at the forefront of cybersecurity innovation. At , 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 , 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 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.
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.