Machine Learning Engineering Manager - Identity Verification

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SEON Technologies Kft.
Munkavégzés helye

Hibrid

Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Általános munkarend
Elvárt technológiák
- BACKEND FRONTEND SECURITY CLOUD DOCKER AWS MACHINE LEARNING AGILE
Elvárások
- Angol középfok
- 3-5 év tapasztalat
- Középiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

Define and execute the technical vision for SEON’s Identity Verification systems across ML models and full-stack application layers
Lead end-to-end delivery of high-impact initiatives, from model development to backend services and frontend integration
Guide architecture and best practices to ensure scalability, reliability, performance, and security
Drive production excellence in ML, including monitoring, validation, and lifecycle management
Foster strong collaboration across Engineering, Product, Design, and Customer Success
Build a high-performance culture through coaching, hiring, and continuous team development

Requirements

3+ years of experience managing engineering teams and delivering complex software products
Strong understanding of production ML systems, ideally in computer vision, biometrics, or fraud detection
Experience owning the full ML lifecycle, from data and training to deployment and monitoring
Solid background in SaaS or distributed systems, including backend APIs and modern frontend frameworks
Familiarity with cloud infrastructure, containerization, and CI/CD practices
Strong architectural thinking, communication skills, and a data-driven problem-solving mindset
Solid experience with containerization (Docker), orchestration (Kubernetes), and cloud providers (AWS preferred, including experience with infrastructure as code tools like Terraform)
Proven ability to thrive in a fast-paced, Agile development environment
Demonstrated ability to think strategically, design, and implement end-to-end solutions
Excellent English communication skills, both written and verbal
Outstanding analytical and problem-solving skills

Nice-to-have

Prior experience in identity verification, biometrics, or presentation attack detection is nice to have, Experience with adversarial ML, deepfake detection, or spoofing countermeasures is a plus, Experience with Computer vision technologies is beneficial, Experience deploying models to mobile or edge environments is advantageous, Familiarity with monitoring live ML systems and handling data drift is desirable

What we offer

Full time employment
Remote or hybrid work flexibility depending on location
Opportunity to lead a highly strategic product area
Work with a growing team and impactful projects
Competitive compensation and benefits

Workplace extras

Canteen
Cafe
Corporate events
Bicycle storage
Free fruits, snacks
Free coffee, soft drinks
Free breakfast
Free lunch
Play corner

Company info

SEON is the command center for fraud prevention and AML compliance, helping thousands of companies worldwide stop fraud, reduce risk and protect revenue. Powered by 900+ real-time, first-party data signals, SEON enriches customer profiles, flags suspicious behavior and streamlines compliance workflows - all from one place. SEON provides richer data, more flexible and transparent analysis, and faster time to value than any other provider on the market. We’ve helped companies reduce fraud by 95% and achieve 32x ROI, and we’re growing fast, thanks to our partnerships with some of the world’s most ambitious digital brands like Revolut, Wise, and Bilt.