(Senior) AI Engineer - Data & AI Organisation (all genders, full-/part-time)
Are you ready to shape the future of Data & AI?
Are you ready to shape the future of Data & AI?
Build models that predict user value, engagement and reward behaviour, and see them live in our product - Run A/B tests on offers, rewards a
We are looking for a Senior Product Data Scientist who is deeply product-minded and highly proactive.
If you re excited by the idea of building technologies that go beyond today s AI accelerators and helping define the future of computing, we
You want to help build the central MLOps/LLMOps Platform that supports over 80 Data Scientists and ML Engineers worldwide?
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
im Team You will support the ECHT team in its mission of transforming traditional materials research into a fully digitalised, data-driven p
Analysiert Geschäftsprozesse, leitet GenAI-Use-Cases ab und begleitet AI-Lösungen vom Pilot bis zum Rollout sowie deren Adoption.
Über das UnternehmenWenn du schon mal eine CAD-Zeichnung gesehen hast und dachtest: „Da steckt doch mehr drin als nur Linien und Maße“, dann
Verantwortet das Produkt-Backlog einer Eyewear-Plattform, trifft technische Entscheidungen mit dem Team und bringt GenAI-/LLM-Features in die Produkte.
is to provide expert human judgment on whether the resulting research is scientifically valid, genuinely novel, and of a quality comparable
Entwickelt und verantwortet die iOS-App, die ein iPhone am Mikroskop mit On-Device-Computer-Vision-Modellen in Echtzeit betreibt.
Sie arbeiten eng mit Data Scientists, Data Engineers, Fachexpert:innen und Product Ownern zusammen, um robuste und langfristig gut weiteren
Lead Data Scientist or Quantitative Analyst - Commodity Intelligence ICIS – Karlsruhe/Germany or London About ICIS ICIS is part of Risk Solu
Senior Data Scientist / Quantitative Analyst - Commodity Intelligence ICIS – Karlsruhe/Germany or London About ICIS ICIS is part of Risk Sol
Senior Data Scientist / Quantitative Analyst - Commodity Global Trade Shipping & Logistics ICIS – Karlsruhe/Germany or London About ICIS ICI
In this role, you will work in the field of AI for CT image formation, reconstruction and denoising.
In this role, you will work in the field of systems and physics of computed tomography to help address unmet clinical needs in precision diagnosis.
We re looking for a Senior Full-Stack Developer who can work confidently across frontend and backend, take ownership of features from initia
KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world s leading travel search engine.
Leitet KI-Projekte vom Konzept bis zum Betrieb beim Kunden, entwickelt Kundenbeziehungen und integriert Voice Agents und Automatisierungen in Unternehmensprozesse.
KI-Funktionen direkt in unsere Produkte integrieren: Chat- und Assistenzfunktionen, generative Modelle sowie Automatisierung auf Basis von K
NVIDIA seeks a Senior Software Engineer specializing in Deep Learning Inference for our growing team.
Own business impact, not features.
Definiert die Kamera-Spezifikation für Manipulationsdaten, baut das Bewertungs-Harness und trainiert erste Robotik-Policies auf eigenen Lagerdaten.
You will take responsibility for clinical data science deliverables, applying your skills to ensure quality and efficiency.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Are you ready to shape the future of Data & AI? Join our team as an AI Engineer and play a key role within our Data & AI Organization (MDAO) - a highly engaged team of data enthusiasts, engineers, and AI specialists. Our mission is to design, build, and run analytics solutions that deliver actionable insights to address business challenges and provide strategic data products to our partners across the Enabling Functions, including Finance, HR, Procurement, Legal, and many more.
As an AI Engineer, you will design and implement reliable analytics pipelines and enterprise-grade agentic workflows, integrating LLMs, predictive models, and multi-agent frameworks to deliver scalable AI solutions across our business functions. You will ensure model reliability, reproducibility, and performance at enterprise scale within our modern technology ecosystem, utilizing platforms such as AWS, Palantir Foundry and Snowflake. Embedding explainability, transparency, and security into every AI solution and using Agentic Engineering tools to multiply the delivery is a core expectation of this role.
You will work closely with Product Owners, Data Engineers, and fellow Data Scientists in agile, cross-functional Product-Oriented Delivery Teams (PODs), supporting business teams in consuming AI outputs through APIs, dashboards, and embedded analytics. You will actively contribute to building internal AI literacy by sharing knowledge, mentoring peers, and piloting innovative approaches. A genuine curiosity for the latest developments in AI and data science will be essential, soyou will continuously identify opportunities to experiment, measure impact, and drive the field forward within our organization.
If you are curious and ambitious about taking on this challenge, we encourage you to apply today! Who You Are: - University degree in Mathematics, Physics, Computer Science, or a related field. - 5+ years of experience in data science, data engineering, application design, analytics, or visualization within a global organization. - Experience working with Finance, HR, and/or Procurement data and core business processes. - Excellent programming skills in Python and SQL - Strong foundation in machine learning, statistics, predictive modeling, and NLP combined with practical experience developing LLM-powered applications - Familiarity with vector stores, reranking techniques and LLM observability tooling such as (Langfuse, LangSmith, or similar) - Experience in using agentic engineering tools such as Claude Code, OpenAI Codex, or OpenCode effectively and responsibly within enterprise software development workflows - Experience working with cloud and enterprise data platforms such as AWS, Palantir Foundry or Snowflake and frameworks like Apache Spark, polars, DuckDB or dbt for data transformation. - MLOps & DevOps experience, including MLflow, CI/CD and Docker - Continuously up-to-date with digital trends, emerging technologies, and the evolving AI landscape. - Excellent communication and presentation skills in English; German language skills are a plus.
We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace.
Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress! Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!
Work Your Magic with us! Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we!
Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That s why we are always looking for curious minds that see themselves imagining the unimaginable with us.
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