Staff AI/ML Engineer (all)

Free resume

Berlin

Híbrido

EUR 110.000 - 160.000

Jornada completa

Hace 9 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Free resume is seeking a Staff AI/ML Engineer to take technical ownership of our AI/ML work end-to-end. You will lead projects from idea to implementation, shaping how we build and scale AI across the company.

You will tackle complex problems with GenAI, classic ML, and robust data infrastructure, ensuring reliable production systems and a strong product mindset throughout the stack.

Formación

  • Proven experience leading AI/ML projects end-to-end in a startup/product environment.
  • Strong AI/ML and Data Science expertise, including classic ML and GenAI, with a solid software engineering foundation.
  • Understanding of data and ML infrastructure, including data quality, feature/data pipelines, model serving, observability, deployment, and lifecycle management.
  • Strong system design and architecture skills.
  • Proactive, ownership-driven, and results-oriented, with a strong product mindset.
  • Open to feedback and comfortable challenging technical decisions constructively.

Responsabilidades

  • Solve complex problems using the right AI/ML approach, from classic ML to GenAI and LLMs.
  • Design AI/ML systems and architecture, including greenfield projects.
  • Evaluate, monitor, and maintain AI/ML pipelines in production — not only build AI/ML solutions, but also assess their performance and keep them reliable over time.
  • Audit our current AI setup and help define the AI strategy and roadmap.
  • Lead cross-functional AI initiatives and drive them from idea to implementation.
  • Challenge existing technical decisions constructively and stay focused on the product and the result.

Conocimientos

AI/ML leadership
GenAI expertise
Software engineering
Data infrastructure
System design
Product mindset
Feedback culture

Descripción del empleo

Job Description
Who we are looking for

We’re looking for a Staff AI/ML Engineer to take technical ownership of our AI/ML work end-to-end. You’ll work on complex AI/ML problems, lead projects from idea to implementation, and help shape how we build and scale AI across the company. You’ll bring hands-on experience building and leading projects end-to-end, along with the ability to go deep into technical decisions, edge cases, and trade-offs.

Your mission
  • Solve complex problems using the right AI/ML approach , from classic ML to GenAI and LLMs, depending on the problem.

  • Design AI/ML systems and architecture , including greenfield projects.

  • Evaluate, monitor, and maintain AI/ML pipelines in production — not only build AI/ML solutions, but also assess their performance and keep them reliable over time.

  • Audit our current AI setup and help define the AI strategy and roadmap.

  • Lead cross-functional AI initiatives and drive them from idea to implementation.

  • Challenge existing technical decisions constructively and stay focused on the product and the result.

Your background
  • Proven experience leading AI/ML projects end-to-end in a startup/product environment.

  • Strong AI/ML and Data Science expertise , including classic ML and GenAI , with a solid software engineering foundation and hands-on experience building AI/ML solutions.

  • Understanding of data and ML infrastructure , including data quality, feature/data pipelines, model serving, observability, deployment, and lifecycle management .

  • Strong system design and architecture skills.

  • Proactive, ownership-driven, and results-oriented , with a strong product mindset .

  • Open to feedback and comfortable challenging technical decisions constructively .

Why us?
  • Top Tech company in Digital Health: Work in a fast-growing, innovative environment where your impact is visible.
  • True impact in healthcare: Contribute to a unique platform with the potential to improve health for millions.
  • International team: Join colleagues from 14+ nationalities, united by a shared vision.
Hiring Process
  • Recruiter Screening
  • Leadership Interview
  • Technical Deep Dive
  • Decision
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