Build and improve LLM agent workflows for nursing forms, assessments, care reports and care-plan suggestions, working on tools, context, state and prompts.
Help us use technology to make a big green dent in the universe!
Company team.blue is an ecosystem of 60+ successful brands working together across 22 European countries to provide its 3.3 million SMB cust
This role will design and develop technology in partnership with other software engineers in the US, UK, Germany, and Japan.
be part of our Data Science team to further optimize our innovative product based on machine learning and artificial intelligence - work on
Wir schreiben dir, sobald eine neue geprüfte Stelle zu Large Language Models in Berlin dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
is linked with our office in Berlin, but we are flexible about hybrid or remote work in Germany.
We are looking for a Senior AI Engineer (Python) to join the Conversational AI (CAI) team in the Practice Efficiency domain.
Your mission Join our ranking team and build the intelligent systems at the core of Cosuno s platform.
Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search - Develop algorith
This role is foundational data science: building the foundations of tabular foundation models so a single model can solve data-science problems across the board.
As an AI Engineer, with focus on A/ML-Ops, you ll collaborate closely with our product and tech team to bring AI-driven features reliably in
We are seeking a Senior ML Data Processing Developer to participate in the development, curation, and scaling of our core data asset pipeline.
We build Junie, our AI coding agent, available across JetBrains IDEs and as a standalone CLI.
SoundCloud empowers artists and fans to connect and share through music.
As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from mode
Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems.
Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigo
Make an Impact by: In this role, you will develop models and insights that help predict charging behavior, optimize billing, and improve customer engagement.
Own a platform-level optimization pillar such as quantization, speculative decoding, KV-cache optimization, engine selection, or long-context serving.
We re looking for a Data Scientist who treats AI as a working tool, not a buzzword.
Du treibst Projekte unermüdlich von der Idee bis zur Umsetzung, um den Vertrieb in der Sparkassen Finanzgruppe zu unterstützen Du setzt KI-T
UND VERANTWORTLICHKEITEN Du leitest die Entwicklung, Bewertung und Anwendung von Machine Learning-Algorithmen und Workflows zur Charakterisi
Das waren alle 22 Jobs zu dieser Auswahl.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Build and improve LLM agent workflows for nursing forms, assessments, care reports and care-plan suggestions, working on tools, context, state and prompts. - Own evaluation for your area: create benchmarks from production traces and synthetic scenarios, build regression tests and use results to inform what ships. - Investigate real-world failures, reproduce issues across the app, backend and models, and turn what you learn into fixes, tests and data-labeling tasks. - Train or adapt models where they outperform rented frontier models on quality, speed, cost or privacy—for example, for personal-data detection or smaller, faster models. - Make latency, cost and privacy part of your engineering decisions, from model routing and caching to protecting sensitive data. - Partner with product, engineering, data and customer-facing teams, and use feedback from care professionals to guide improvements.
Experience training, evaluating and shipping ML or NLP models to production, and explaining the decisions and results behind your work. - Experience building evaluations for ML or LLM systems and using error analysis and regression tests to guide product decisions. - Hands-on experience with LLMs in production, including agents or tool use, structured outputs and context design. - Strong software engineering skills: you write tested, reviewable production code and can learn an unfamiliar language or framework. - An end-to-end approach to messy problems, sound judgment with sensitive data, and the ownership to work through ambiguity in a fast-paced product team. - Fluent English. ️ Our stack Our ML and evaluation tooling uses Python; our agent and app code uses Kotlin Multiplatform and JetBrains Koog. We use Claude through our inference service, alongside open and on-device models where they make sense. You don’t need to know our specific languages or frameworks before joining: depth and the ability to learn matter more than a keyword match.
What you can expect - Work on a product used by care professionals, with direct feedback and a clear social impact. - Shape a young agent stack and grow into ownership of a domain, market or technical area. - Do real ML work, from training and evaluation to production, alongside collaborative engineering and product teams. - Join a team that values written communication, shared learning and regular time together. - Become a co-creator of our success with stock options and access to language courses. ✨ Ready to talk? Apply to join us in giving care professionals more time for people. We look forward to hearing about the systems you’ve built, what you learned and the impact they had.
Why voize? At voize, we believe the greatest gift to frontline workers is time: time to care, connect and be present. Our AI helps care professionals turn spoken notes into structured documentation, so they can spend less time on administrative work and more time with people.
More than 200,000 care workers use voize. Join us to build technology that makes a difference in their daily work. Your mission Build agents that nurses can trust: accurate, fast and safe enough for real-world care.
You’ll combine hands-on ML with thoughtful engineering and rigorous evaluation, using production data and feedback to improve the product. We’re hiring four ML engineers through one process. Depending on your strengths and interests, you’ll work on hospital documentation, US senior care, German care agents or the shared NLP platform.
You’ll be part of the NLP chapter and work closely with product and engineering colleagues.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige82 geprüfte Stellen bei 56 Arbeitgebern, 4 davon ortsunabhängig. Modelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.