SEON Technologies Kft. logó

Software Engineer (ID Verification - Machine Learning team)

Állás részletei

  • Cég neve

    SEON Technologies Kft.

  • Munkavégzés helye

    Hibrid Budapest
  • Egyéb juttatások

    • Egészségbiztosítás
  • Munkaidő, foglalkoztatás jellege

    • Alkalmazotti jogviszony
    • Általános munkarend
  • Elvárt technológiák

    • NODEJS PYTHON BACKEND REACT NOSQL CLOUD AWS DOCKER TESTING ACCESS MACHINE LEARNING REST AGILE
  • Elvárások

    • Angol középfok
    • 5-10 év tapasztalat
    • Középiskola
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Állás leírása

Responsibilities

  • Contribution to the ID Verification ML team building in-house ML solutions
  • Delivery of high-quality NodeJS, TypeScript and Python code with simplicity, performance and scalability in mind
  • Design, build and maintenance of ETL/data pipelines turning raw data into clean, labeled, versioned training datasets
  • Building and operation of data-intensive backend services across training and evaluation workflows
  • Support of ML model packaging, delivery and serving into production
  • Partnership with machine learning engineers to translate research prototypes into high-quality, well-tested, production-ready code
  • Provision of expertise, review of pull requests and help raising engineering practice across a fast-moving, research-heavy team
  • Design of technical implementations, breakdown of features into development stories and provision of estimates
  • Mentoring colleagues and fostering a culture of continuous learning
  • Recommendation of new approaches to improve team engineering practices
  • Participation in hiring interviews providing technical assessment and team-fit review
  • Handling of sensitive data with rigor including data residency and compliance concerns

Requirements

  • 5+ years of software engineering experience with NodeJS, TypeScript, React, Python, REST, RDBMS, NOSQL backend systems or similar stacks
  • Comfort operating in a research-adjacent, evidence-driven environment
  • Passion for building scalable data pipelines empowering ML engineering efforts
  • Agile and iterative mindset with end-to-end ownership
  • Experience with cloud data and ML infrastructure, AWS preferred
  • Experience with containerization using Docker and Kubernetes
  • Understanding of data modeling across relational and unstructured data
  • Strong experience in automated testing
  • Excellent problem-solving skills
  • English language proficiency

What we offer

  • Compensation range from HUF 18,168,682 to HUF 24,581,015
  • Equity offers
  • Fair compensation
  • Employee stock ownership plan (ESOP)
  • National holidays and generous holiday allowance
  • Flexible work schedule allowing alteration of workday
  • Enhanced parental leave policies
  • Private health insurance including coverage for spouse and dependents
  • Hybrid working environment with remote and office collaboration
  • Employee assistance and mental health support platform access
  • Monthly company breakfast and weekly lunch allowance
  • Access to learning and development opportunities including external L&D
  • Weekly language courses for 40+ languages including Hungarian, English, Spanish, Portuguese and Bahasa
  • Book allowance for business books

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.

How to apply

You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.

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