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.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
Bridge the gap: Develop and maintain the hardware abstraction layers that allow our higher-level autonomy modules to interact seamlessly with the physical robot.
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.
Taktile empowers financial institutions to transform into truly AI-native organizations.
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
Lead R&D efforts to prototype a new robotic manipulator, conducting rigorous testing to validate design specifications and performance criteria.
adjoe builds the technologies behind mobile apps growth and monetization.
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
Overview We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models.
To strengthen our AI for Science (AI4S) team, we are looking for AI/ML Engineers with a track record in developing and validating machine le
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
About the Job As a key growth accelerator, A11 partners with Europe’s most ambitious startups and scaleups, corporates and SMBs to connect t
To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing production-grade, data
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.
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
Entwirft und deployt KI-gestützte Cybersecurity-Lösungen bei Kunden, von Workshops mit CISOs bis zur Produktion, zusammen mit dem Applied-AI-Team.
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?
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Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.