Jalasoft
Jalasoft
Jalasoft Janubiy Amerika bo‘ylab joylashgan jamoalari hamda 13 mamlakatdagi 70 shaharga yoyilgan kengroq faoliyati orqali mijozlarga xizmat ko‘rsatadigan nearshore dasturiy ta’minot ishlab chiqish kompaniyasidir. Uning 1 000 dan ortiq muhandislari dasturiy ta’minot ishlab chiqish, sifatni ta’minlash va DevOps yo‘nalishlarida faoliyat yuritib, xodimlarni qo‘shimcha jalb qilish va maxsus jamoalar asosidagi hamkorliklarni qo‘llab-quvvatlaydi. Jalasoft ISO 27001 sertifikati hamda tarmoq va ma’lumotlar markazlarini boshqarish bo‘yicha Palo Alto, NVIDIA va Cisco bilan hamkorliklari orqali xavfsiz texnologiyalarni yetkazib berishga ham e’tibor qaratadi. Kompaniya Jala University orqali yangi texnik iste’dodlarni rivojlantirish va ishga jalb etishga yordam beradigan texnologik ta’lim dasturlarini yaratadi. Dasturiy ta’minot, QA, DevOps, SaaS yoki texnologik ta’lim sohalaridagi imkoniyatlarni izlayotgan mutaxassislar uchun Jalasoft muhandislik xizmatlari, iste’dodlarni rivojlantirish va raqamli transformatsiya ishlarini qamrab olgan kompaniya profilini taqdim etadi.

Academic Content Developer, AI Fraud Detection and Financial Systems

Develop FinTech fraud-detection curriculum for Jala University, covering instructional modules, practical labs, reference implementations, evaluation tooling, and instructor documentation.

Tavsif

  • Create module content for Jala University's FinTech Engineering Specialization
  • Develop practical laboratory exercises
  • Produce a reference implementation
  • Build an evaluation harness
  • Write an instructor guide

Talablar

  • Experience on a fraud or risk team at a large-scale fintech such as Nubank, Mercado Pago, Rappi, or a comparable company
  • Public technical writing samples—such as documentation, workshop materials, a book chapter, or a documentation-focused open-source project—written to publication standard
  • Strong reproducibility practices, including pinned dependencies, containerization, seeded runs, and documented decoding parameters
  • Professional written English proficiency
  • At least 5 years of software engineering experience
  • At least 3 years of experience in FinTech, payments, or financial services
  • Go programming experience
  • TypeScript and Node.js experience
  • Experience with real-time fraud pipelines, including streaming, rules-based systems, machine learning, and latency SLAs
  • Experience integrating fraud providers such as Cybersource, ClearSale, Fingerprint, or Seon
  • Understanding of machine learning from the perspective of an engineer integrating models, including feature engineering
  • Experience with feature stores
  • Knowledge of KYC/AML processes, sanctions and PEP lists, and COAF or UIF reporting
  • Experience with treasury reconciliation and proof-of-reserves processes

Imtiyozlar

  • Remote work from a home office
  • Opportunity to join a dynamic, growing organization with international reach

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