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9 часов назад

Principal Generalist Engineer (ML)

Формат работы
remote (только Poland)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Principal Generalist Engineer (ML): Building reliable, scalable, and observable production systems across application services, distributed systems, infrastructure, data pipelines, and ML systems with an accent on end-to-end ownership, debugging, and technical judgment. Focus on designing reproducible ML pipelines, deploying and monitoring models, optimizing performance and reliability, and solving complex system and model failures.

Location: Remote, Poland

Company

hirify.global is an African financial platform providing payments, banking, credit, cross-border, and business management tools for businesses and individuals.

What you will do

  • Design and build reliable, scalable, and observable production-grade systems.
  • Own the full lifecycle from ambiguous problem statements through design, data, implementation, deployment, and operations.
  • Work across application services, distributed systems, infrastructure, data pipelines, and ML systems.
  • Debug complex production issues across multiple system layers.
  • Improve performance, latency, reliability, and cost efficiency while contributing to architecture and technical direction.
  • Train, evaluate, deploy, and monitor ML models and build reproducible pipelines when ML is appropriate.

Requirements

  • Strong computer science fundamentals, including data structures and algorithms, operating systems, networking, and distributed systems.
  • Solid probability and statistics knowledge.
  • Experience building production systems at scale and understanding system behavior under load and failure.
  • Ability to work across Go, Java, Python, Rust, and SQL.
  • Comfort with Linux, containers, Kubernetes, data systems, streaming systems, and ML infrastructure.
  • Strong debugging skills and ability to reason using invariants and failure modes.

Culture & Benefits

  • People-first culture focused on well-being, inclusion, respect, and open communication.
  • Learning and development environment with knowledge sharing, training, and internal technical talks.
  • Salary, pension, health insurance, paid leave, and additional benefits.

Hiring process

  • Initial conversation with a recruiter.
  • Practical take-home technical assessment followed by an interview discussion.
  • System design interview followed by a final technical and behavioral interview with an executive team member.

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