Senior Python Engineer - Lead ML Platform & Infra (Remote)

Mimica

Portugal

In loco

EUR 70.000 - 110.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Stock options
Remote work from anywhere
Laptop + setup stipend
Flexible schedules
Paid time off

Descrizione del lavoro

Mimica is a remote-first scale-up that builds AI-powered task mining to help enterprises reclaim time and work more efficiently. You will join one of our senior-level engineering teams and shape the architecture of our Python-based ML systems.

As a Lead/Staff software engineer, you will own backend components, mentor teammates, and collaborate closely with data scientists and ML engineers to productionise models and deliver new AI features at scale.

Competenze

  • 8+ years as a Software Engineer with Lead/Staff level responsibilities.
  • Strong Python backend expertise and experience owning full lifecycles.

Mansioni

  • Write Python applications resilient to production use.
  • Mentor others to improve code quality and testing.
  • Develop observability and ML/GenAI integrations (Grafana Stack).
  • Build integrations with Google Services and ML systems.
  • Collaborate with Data Scientists and ML Engineers to productionise models.
  • Respond to incidents affecting ML applications (CPU/memory/GPU).
  • Document processes and facilitate knowledge sharing.
  • Participate in hiring and onboarding new team members.

Conoscenze

Python
Backend-Engineering
Async programming
Project ownership
Testing
Observability
Mentoring
English fluency

Strumenti

GCP

Descrizione del lavoro

Mimica is a remote-first scale-up that builds AI-powered task mining to help enterprises reclaim time and work more efficiently. You will join one of our senior-level engineering teams and shape the architecture of our Python-based ML systems.

As a Lead/Staff software engineer, you will own backend components, mentor teammates, and collaborate closely with data scientists and ML engineers to productionise models and deliver new AI features at scale.

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