Staff AI/ML Engineer (all)

• 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.

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 Find Jobs in Germany on Arbeitnow Machine Learning, ML, GenAI, AI, Artificial Intelligence, LLM