What we build Most companies find out about supplier insolvencies, cyber attacks, factory fires or floods that affect their supply chain whe
Data Scientist DEPT®/AI has a single mission: to make the best work in the industry using AI to enhance everything we do.
Begleitet Kunden von der KI-Strategie bis zur Produktivsetzung, entwirft Architekturen, baut Prototypen und verantwortet Pilotprojekte mit Mistral-Modellen.
Entwirft und deployt KI-Lösungen bei Industriekunden, von der Roadmap bis zur Produktion, inkl. Physik-KI-Pipelines.
As an AI Deployment Strategist with Science Focus, you will drive the adoption and deployment of Mistral s AI solutions for science-heavy pr
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.
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
work as part of our Outbound Data Science team to further optimize our innovative product based on machine learning and artificial intellige
/Preferred Qualifications Your impact: - Architect and implement agentic AI solutions for semiconductor applications - Develop multi-agent s
Erforscht und trainiert Foundation-Modelle für Physiksimulation, kuratiert Simulationsdatensätze und bewertet Modelle gegen Ingenieurs-Validierungsstandards.
We re a Data Team that operates like a scaleup within an established company: real ownership, short decision paths, and room to shape things.
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency.
Protect AI models, algorithms, and data from emerging threats.
Definiert die Kamera-Erfassungsspezifikation für Manipulations-Trainingsdaten, baut das Evaluationsframework und trainiert erste Roboter-Policies auf eigenen Daten.
Nebius Science is looking for an AI Science Writer based in the EU.
AI Large Language Model (LLM) Technology Architect Career Level: Associate Manager / Specialist YOU ARE As a hands-on AI/LLM Architect, you
As a Research Scientist at ClickHouse Labs, you will work on high-impact problems at the intersection of database systems, distributed syste
Before the detail, here s the challenge you d help us solve.
Entwickelt und verbessert 3D-Rekonstruktionsmethoden und Szenenrepräsentationen wie Gaussian Splats, von Optimierung pro Szene bis zu Feed-forward-Modellen.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
Build and ship models that predict user value, engagement, and reward behaviour.
About Black Forest Labs We’re the team building the foundational layer for visual intelligence: multimodal models trained jointly on images,
The AI Teams at Agile Robots are looking for a Machine Learning Engineer (m/f/d) VLA Training & Evaluation, who will build the frameworks fo
Your Mission At Accenture, you shape the environment in which you thrive – with ways of working that suit you.
Betreut die BioNMR-Anlage, schult Nutzer, baut Python/R-Datenpipelines und integriert ML-Werkzeuge in die Spektrenverarbeitung.
As an Edge AI ML Engineer, you will develop, optimize, and deploy machine learning models for audio and multimodal intelligence on real devices.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Master’s degree in a related field - Understanding of cloud-based services, especially Google Cloud Platform or AWS - Knowledge of NoSQL database systems - Knowledge of agile software development techniques - Experience with agent engineering and AI tools like Cursor, Claude etc. What s our working style We re a robust AI-native team building an AI-native resilience product - and we hire for both. For us, AI-native has always meant humans and AI working together, not one replacing the other.
We use tools like Claude and Cursor as a normal part of the job, to think faster, work smarter and spend less time on the repetitive stuff. We treat AI fluency as a skill like any other - something you build, experiment with and keep developing. What that works alongside is real ownership.
You ll have the space and the trust to figure things out your way - with a strong team around you and plenty of support when you need it. Things move fast here and the brief won t always be complete, but that s what makes the work interesting. The people who do best at Prewave are curious by default, go after things rather than wait to be handed them, and don t lose their footing when the plan changes.
We score six values in every interview - creating positive impact, optimising for customer value, being an ambitious innovator, operating with urgency, doing things that make sense and collaborating with kindness - so you always know what we re looking for and can prepare accordingly. The Package Minimum EUR 45,738 gross annually based on IT Collective Agreement. Flexible hours and hybrid working.
Your birthday off. MyClubs partnership. Mental health support.
Regular health check-ups and initiatives. Company-wide training. Fun team events.
Device of choice. Work from anywhere - up to 8 weeks a year.
What we build Most companies find out about supplier insolvencies, cyber attacks, factory fires or floods that affect their supply chain when it s already a crisis. Prewave exists to change that. We re an AI-native company giving BMW Group, Hilti and Lufthansa real-time visibility into supply chain risks before they become headlines.
We re looking for a Data Science Engineer who takes ownership of turning vast, complex data into actionable intelligence from day one. Someone who uses AI as a default part of how they work - and knows when to trust their own judgment. What you ll own - Decode the data – Leverage natural language processing (NLP) to extract meaning from diverse datasets. - Think like a scientist – Formulate hypotheses, uncover patterns, and pinpoint optimization opportunities. - Build smarter AI – Develop, fine-tune, and deploy machine learning models using Torch and TensorFlow. - Bridge research & reality – Transform cutting-edge algorithms into production-ready solutions. - Keep models sharp – Monitor, enhance, and continuously improve model performance and accuracy. - Expand the data universe – Identify and integrate new data sources to enrich our intelligence. - Collaborate & innovate – Work with cross-functional teams to tackle business challenges with data-driven solutions.
What we are looking for You are the right fit if you have: - Bachelor’s degree (or higher) in Computer Science, Statistics, Mathematics or related fields - 5+ years of experience in developing, deploying and scaling machine learning models to production - Experience with NLP or other machine learning technologies, machine learning techniques and tools like Torch or Tensorflow - Good experience in working with Python and Scala - Knowledge of SQL and relational databases - Strong problem-solving skills, comfortable with ambiguity and open-ended questions - End-to-end ownership, from prototyping a model to deploying and monitoring it in production
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.