9 часов назад
Principal Generalist Engineer (ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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