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Xolife

Staff AI/ML Engineer (all)

BerlinSin especificar

Otros puestosTiempo completo
Publicado
11 de octubre de 2026
Ubicaciones elegibles
Berlin
Fuente original
Arbeitnow

Sobre el puesto

Se conserva el idioma original del anuncio.

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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Habilidades y etiquetas

Machine LearningMLGenAIAIArtificial IntelligenceLLM

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Fuente original

Arbeitnow

Enfocada en Alemania y Europa, con un feed separado del Reino Unido.

Actualizada

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Última actualización
12 oct 2026, 1:15
Frecuencia de actualización
6 h
Empleos
200
Arbeitnow