You will take ownership of the design, implementation, and adaptation of AI-driven optimization and planning algorithms, ensuring the contin
Konzeption und Implementierung skalierbarer ML-Pipelines für Training, Evaluation, Deployment und Optimierung Aufbau moderner Embedding- und
Develop and apply natural language processing (NLP) methods and/or large language models (LLMs) to identify and extract evidence on adaptati
Job purpose/role Allianz Investment Management (AIM) is the internal investment manager of the Allianz Group.
RWE Offshore Wind GmbH Start zum nächstmöglichen Zeitpunkt, Vollzeit / Teilzeit, unbefristet Die Rolle Mitwirkung an den Berichts- und Planu
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.
Erforscht Angriffsvektoren auf KI-Modelle und Datenpipelines und entwickelt Verteidigungen für Training auf Billionen-Parameter-Umgebungen.
Erforscht Angriffsvektoren auf KI-Modelle und Trainingspipelines, modelliert Bedrohungen und entwickelt Verteidigungen für Billionen-Parameter-Umgebungen.
Fuse Energy is an energy startup on a mission to make energy abundant and affordable, fast.
im Team Als AI-Research Engineer mit Software-Engineering-Hintergrund sind Sie ein zentrales Mitglied des CASABLANCA Research Teams und ein
provides an opportunity to build and develop strong practical data science skills while contributing to measurable business outcomes.
Du entwickelst mit Python innovative A I-Agenten - von der Konzeption geeigneter Use Cases über die Umsetzung und Integration bis zum produk
KI für Bilder und Punktwolken entwickeln: Du entwickelst Anwendungen zur Auswertung von Bilddaten, Punktwolken und 3D-Daten, beispielsweise
CT is a European-based international engineering company with a clear mission: to provide innovative and technological solutions that help o
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
im Team You will support the ECHT team in its mission of transforming traditional materials research into a fully digitalised, data-driven p
Create & Innovate: Actively participate in the conceptualization phase.
Entwickelt und trainiert Deep-Learning-Modelle für Wahrnehmung und Navigation autonomer Schwermaschinen und integriert sie in Robotiksysteme.
At Mirelo, you’ll work at the centre of how we build the next generation of multimodal video-to-audio models.
Optimiert und betreibt die Trainingsinfrastruktur für generative Audiomodelle: GPU-Profiling, verteiltes Training und SLURM-Cluster.
Entwirft und trainiert neuronale Audio-Codecs für generative Sound-, Musik- und Sprachmodelle und prüft deren Nutzen in Downstream-Experimenten.
Entwickelt und trainiert generative 3D-Weltmodelle und Diffusionsmodelle für Bild und Video, inklusive verteiltem Training und Produktivsetzung.
Entwickelt KI-Systeme, die Vision und Sprache für die Autonomie schwerer Robotermaschinen verbinden, und begleitet sie bis zum Produktiveinsatz.
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.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
You will take ownership of the design, implementation, and adaptation of AI-driven optimization and planning algorithms, ensuring the continuous improvement of resource allocation, process efficiency, capacity planning, and operational performance. - You will drive the development of digital twin and simulation models to evaluate what-if scenarios, predict operational outcomes, and analyze alternative strategies. - You will be responsible for researching and developing AI-powered solutions and intelligent agents to address complex operational challenges. In doing so, you will leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures. - You will develop robust, production-grade software that delivers intelligent capabilities for business users. - You will collaborate closely with subject matter experts, business stakeholders, and external partners across diverse disciplines to transform real-world operational requirements into innovative prototypes and, ultimately, impactful enterprise-grade solutions deployed in production environments. - You will contribute to the generation of intellectual property and participate in scientific publications, patent applications, and presentations at leading conferences and in recognized industry journals. To find out more about the specific business, have a look at Work experience - You hold a completed Master s degree in Computer Science, Operations Research, or a related field, ideally with a focus on Artificial Intelligence.
Alternatively, you have a PhD in one of these areas. - You have several years of professional experience in developing AI-based solutions and integrating them into existing platforms to optimize and/or simulate business processes. - We also welcome applicants with a bachelor s degree, combined with additional professional experience in this field. - You possess strong expertise in Machine Learning, Deep Learning, and Large Language Models (LLMs). - You have solid knowledge of mathematics, statistics, computational modeling, simulation, and algorithmic thinking. You also have solid expertise in modeling complex systems, for example in the field of Digital Twin technologies. - You are confident working in software development environments and have excellent knowledge of Python and relevant frameworks. - You have experience in research environments and can ideally demonstrate scientific publications, patents, or presentations at leading conferences in relevant fields. - You possess profound expertise in version control systems (Git), cloud infrastructures (Azure), and scalable deployment concepts. - You have a strong understanding of change management and business process transformation in complex organizational environments. - You are capable of working independently as well as collaboratively within multidisciplinary teams and enjoy working in a dynamic innovation-driven environment. - You demonstrate strong analytical and problem-solving skills. - You are fluent in English; German is a plus. Excellent communication and presentation skills, including the ability to explain complex technical concepts to both technical and non-technical audiences, complete your profile.
Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere.
Sustainably. We are committed to creating an inspiring and caring environment within a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.
R&D Scientist – Operational AI (f/m/d) In this role you will drive the research and development of cutting-edge AI-powered solutions, digital twins, and intelligent systems for complex operational environments. Choose the best place for your work – Within the scope of this position, it is possible, in consultation with your manager, to work mobile (within Germany) up to an average volume of 60% of the respective working hours. Even more flexibility?
Mobile working from abroad is possible for up to 30 days a year under certain conditions and in selected countries.
Our benefits support your wellbeing, growth, and balance through every stage of life. Explore Siemens Healthineers benefits by country.
We are a team of more than 74,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.
How we work When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone.
Everywhere. Sustainably. Check our Careers Site at Siemens Healthineers Careers.
As an equal opportunity employer, we welcome applications from individuals with disabilities. We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email.
We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Click here to get started.
To all recruitment agencies: Siemens Healthineers recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices.
Your adherence to our policies is appreciated.
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.