Principal Data Scientist (m/f/d)
define and own the data science and AI strategy across the organization - lead development and scaling of predictive and generative AI model
define and own the data science and AI strategy across the organization - lead development and scaling of predictive and generative AI model
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and simulation.
Bridge the gap: Develop and maintain the hardware abstraction layers that allow our higher-level autonomy modules to interact seamlessly with the physical robot.
As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences.
Wir schreiben dir, sobald eine neue geprüfte Stelle in München dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
is hands-on and code-heavy — you will work inside the same monorepo as the research team, mostly in Python, and should be as comfortable ref
At ARX Robotics, you will help advance the perception capabilities of next-generation unmanned ground vehicles.
Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvem
Entwickelt das Agents Kit, ein Mendix-SDK für Agenten und agentische Anwendungen, und arbeitet dazu mit Early-Adopter-Kunden in München.
Join our growing Roland Berger AI Lab as the technical backbone for designing secure, scalable (Gen)AI systems.
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
will include: - Design and deliver end-to-end AI solutions, from proof of concept to production.
As an AI Deployment Strategist with Science Focus, you will drive the adoption and deployment of Mistral s AI solutions for science-heavy pr
You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best prod
Advise on AI trust and governance.
Führt Kundenprojekte in Automotive, Luftfahrt und Energie durch und entwickelt ML- und Deep-Learning-Lösungen für Engineering-Daten.
As an AI Software Engineer in our Data Science team, you will help design and deliver scalable backend and cloud systems that power our AI-d
You’ll take the lead in building the data intelligence dimension of Agileday’s AI product.
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
Role highlights: - Role: Forward Deployed AI Engineer - Department: Forward Deployed Engineering - Location: Germany - Reports to: VP, Forwa
Agile Robots SE is an innovative company with a clear mission: bringing intelligent robotic solutions to our customers.
Visium combines strategy, frontier AI, and deep regulated-industry expertise to build and deploy AI-native systems that reinvent how busines
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
define and own the data science and AI strategy across the organization - lead development and scaling of predictive and generative AI models for marketplace and fintech use cases - partner with product and business leaders to align ML initiatives with company goals - design scalable ML systems and cloud-based workflows for training and deployment, with a strong focus on AWS - build and operate production-ready ML solutions using AWS services (e.g. SageMaker, S3, Lambda, EMR, etc.) - ensure model quality, monitoring, governance, and compliance in production - mentor and develop data scientists and act as senior technical advisor YOU COME WITH - 10+ years of experience in data science, machine learning, or applied AI - strong hands-on skills in Python, SQL, and common ML frameworks - proven experience with GenAI and LLMs in real products - strong experience with AWS and its ML/data ecosystem (e.g. SageMaker, S3, EKS, Lambda, IAM) - solid background in cloud platforms, MLOps, and model deployment - ability to translate complex topics into clear business decisions - experience leading senior teams and shaping technical strategy A culture of growth.
With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential. For a career where you can drive our business and shape your future, apply now.
A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it.
We’re constantly innovating, evolving and transforming things for our customers. We’re driven, ambitious and determined to do our best work, together. For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community.
As Principal Data Scientist, you will define and drive the data science strategy across AutoScout24, with a strong focus on AI, machine learning, and Generative AI. You will work closely with product, engineering, and business leaders to turn data into scalable products that create clear business impact. You will lead senior data scientists and act as a technical role model across the company.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige128 geprüfte Stellen bei 79 Arbeitgebern, 10 davon ortsunabhängig. 73 in der KI-Entwicklung, 33 in Integration & Automatisierung.