Senior Machine Learning Developer

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Qohash

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 2018

🔒 Cybersecurity

💳 Fintech

💰 €17.400.000 Series B im 2024-04

Cybersecurity • Data Security • Fintech

Qohash ist ein Datensicherheitsunternehmen, das sich darauf spezialisiert hat, durch seine Qostodian-Plattform Sichtbarkeit und Kontrolle über sensible Daten zu bieten. Die Plattform bietet umfassende Werkzeuge zur Verfolgung sensibler Informationen, zur Gewährleistung der Compliance und zur Verwaltung von Datensicherheitsrisiken. Durch den Einsatz fortschrittlicher Analysen unterstützt Qohash Organisationen in verschiedenen Branchen dabei, kritische Daten zu schützen und Risiken durch übermäßiges Teilen zu mindern, wodurch das gesamte Datenmanagement und die Sicherheitslage verbessert werden.

Beschreibung

• Build, optimize, and embed machine learning models for on-device inference within the QSIDS detection engine. • Optimize models for performance and resource constraints, minimizing memory footprint, latency, and compute on-device. • Collaborate closely with systems engineers to integrate models efficiently into a Go-based engine. • Take models all the way to production and own them once they're running, monitoring performance, detecting drift, and iterating to keep them reliable. • Collaborate with stakeholders to define milestones and ensure timelines align with development needs. • Participate in discussions on technological choices and decisions regarding product development. • Resolve anomalies and problems as soon as they arise. • Stay on the lookout for the latest ML and other technologies and best practices - but resist novelty chasing. • Help onboard and train colleagues as the team grows. • Effectively communicate technical concepts to both technical and non-technical stakeholders.

🎯 Anforderungen

• 7+ years' experience building and shipping machine learning models to production - including deploying, running, and monitoring them in live environments • Hands-on track record owning models post-deployment: monitoring performance, detecting drift, and iterating on production systems • A bachelor's or master's degree in computer science, engineering, or a related field (or equivalent professional experience) • Experience embedding ML models for on-device inference (a strong asset for this role) • Experience with high-performance, low-resource systems programming (memory management, multithreading, optimization), ideally in Go or an adjacent systems language • Bilingual (French and English) • Experience working in a startup environment • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

🏖️ Vorteile

• Enjoy up to six weeks of paid time off annually, because we value your work-life balance. • Comprehensive health benefits, including: • Life insurance • Short- and long-term disability • Paramedical and telemedicine services • Health Spending Account (HSA)