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Day 92
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Budapest, Hungary
Open 3 months, first seen by us 92 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Conduct regular 1-on-1s, manage performance, and remove blockers for the team
Lead sprint planning, task prioritization, and resource allocation
Define model quality metrics, evaluation datasets, and release acceptance criteria
Guide design, training, fine-tuning, and evaluation of detection models
Ensure deployed models meet cloud, offline, air-gapped, and embedded constraints
Conduct regular 1-on-1s to foster career development, provide continuous constructive feedback, remove blockers
leading task prioritization, sprint planning, and resource allocation
Define model quality metrics, evaluation datasets, and acceptance criteria
Guide the design, training, fine-tuning, and evaluation of ML models across diverse detection modalities
Ensure all deployed models meet rigorous operational constraints across cloud, offline, air-gapped, and embedded deployment tiers
Proven experience directly managing or leading technical teams, including conducting 1-on-1s, managing performance, and organizing daily workflows
Experience with model compression or quantization for offline and embedded environments
3+ years applied ML experience across at least two of: text/content classification, computer vision, similarity search/embedding models, malware, or threat detection
Strong proficiency in Python and frameworks like PyTorch or TensorFlow, alongside deep experience with model evaluation frameworks
Open 3 monthsWe first saw this posting 92 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 92
Up longer than most. Similar jobs usually come down between day 7 and day 53.
From 7,804 similar postings that came down. Coming down is not always a hire.
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- End-to-End Model Development: Guide the design, training, fine-tuning, and evaluation of ML models across diverse detection modalities (malware similarity search, URL reputation, phishing/brand-spoofing image analysis, and web threat classification) - Quality & Release Standards: Define model quality metrics, evaluation datasets, and acceptance criteria. Establish strict model release contracts (versioned, runtime-portable artifacts like ONNX, performance benchmarks) for the Java-based Aether backend - Production Readiness: Ensure all deployed models meet rigorous operational constraints across cloud, offline, air-gapped, and embedded deployment tiers
- 3+ years applied ML experience across at least two of: text/content classification, computer vision, similarity search/embedding models, malware, or threat detection - Strong proficiency in Python and frameworks like PyTorch or TensorFlow, alongside deep experience with model evaluation frameworks - Demonstrated history of shipping models consumed by other engineering teams with clean, well-documented handoff contracts
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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
Lead, mentor, and empower a team of ML Engineers to own model quality end-to-end—from initial experimentation to a production-ready, handoff-able artifact—for OPSWAT's AI/ML detection portfolio, spanning MetaDefender Aether (Threat Pattern Correlator, URL Reputation Predictor, Brand Spoofing Detector, and Web Threat Analyzer).
You Will Have an Opportunity to
What We Are Looking for
Nice to have
Why You'll Love Working Here
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.
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Budapest, Hungary
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