Staff AI/ML Engineer (all)
Xolife
BerlinPosted 29 days agoDiscoveredMatch locked
ExperiencedMachine Learning, ML, GenAI
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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Not included in the source posting: what you'll do, benefits.
Skills
machine-learningartificial-intelligencegenerative-aigollm
Who can apply
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