Intro We are looking for an AI Research Engineer to join the PAIR team and play a central role in the design, development, experimentation,
Companion Group is a AAA co-development gaming studio with a globally distributed and fully remote setup, renowned for its adeptness in over
We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda.
Entwickelt und trainiert generative 3D-Weltmodelle und Diffusionsmodelle für Bild und Video, inklusive verteiltem Training und Produktivsetzung.
At Helsing, we are pioneering the future of autonomous decision-making for defence.
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.
We re looking for a Senior AI Engineer to join our process engineering team shaping the future of banking operations.
Work on product and tech initiatives finding the right mix between effort, quality and user value - Optimize and improve the AS24 technology
We are looking for a Senior AI Engineer (Python) to join the Conversational AI (CAI) team in the Practice Efficiency domain.
Intro Hamburg | €70.000,00 - €80.000,00 p.a.
Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing.
Your mission You will - work on machine learning research projects, in particular addressing the question of how machine learning methodolog
At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers.
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
Entwickelt KI-Systeme, die Vision und Sprache für die Autonomie schwerer Robotermaschinen verbinden, und begleitet sie bis zum Produktiveinsatz.
Master s degree or PhD in Computer Science, Information Systems, Robotics, Computer Vision, or a related field.
When travelers are searching for a hotel, we want the obvious choice to be trivago!
We’re on the lookout for an ambitious AI-Engineer to join our Engineering team at our office in Berlin.
Design and implement full-stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment.
Design and implement full-stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment.
Design and implement full‑stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
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.
Leitet SAP-BTP-KI-Projekte, entwirft agentenbasierte KI-Workflows und skalierbare Architekturen und berät Kunden von der Strategie bis zur Umsetzung.
Leitet SAP-BTP-Projekte, entwirft Architekturen und agentenbasierte KI-Workflows und berät Kunden von der Strategie bis zur Umsetzung.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Applied AI research engineer with at least 3 years of experience in backend development or AI in production. - Strong command of Go (microservices, REST/gRPC, high performance) and Python for AI/ML. - Solid experience with cloud-native architectures: Docker, Kubernetes, CI/CD, observability, distributed systems, and real-time services. - AI/ML/NLP skills: LLMs, embeddings, classification, text generation, model evaluation; familiarity with MLOps is a plus. - Proven ability to design, optimize, and deploy scalable AI services in production; experience in deploying AI prototypes is highly valued. - Scientific curiosity, autonomy, rigor, and strong teamwork skills. - Excellent communication skills, documentation abilities, and the capacity to simplify complex topics. - Professional fluency in English, both written and spoken. Your
Hybrid home-office options and flexible, trust-based working hours. - Be part of a growing global company in one of the most dynamic industries — cybersecurity. - Short decision-making paths and flat hierarchies within an open and collaborative work environment. - Opportunities for personal and professional development. - Be-Active Bonus — financial support for fitness and sports club memberships. - Temporary Employee Exchange Program — opportunities to work at international office locations (e.g. Malta, Madrid, Montreal, Washington, D.C.). - Referral Bonus — €1,500 for each successful referral.
Intro We are looking for an AI Research Engineer to join the PAIR team and play a central role in the design, development, experimentation, and production deployment of innovative AI-driven services (LLMs, autonomous agents, automation, NLP, analytics services, etc.). You will be involved in the entire project lifecycle, from ideation and prototyping to production deployment, while actively contributing to the applied research initiatives of the Security Lab. You will work closely with multidisciplinary teams to turn ambitious ideas into concrete, robust, and scalable AI solutions in an environment that encourages continuous innovation.
Your Job End-to-End Ownership of AI Solutions - Design, develop, and maintain AI services from prototype to production. - Ensure robustness, performance, scalability, and operational reliability of solutions in industrial settings. Rigorous Experimentation & Applied Research - Methodically test and benchmark AI models (standards, metrics, comparisons). - Document results and propose innovative solutions tailored to cybersecurity challenges. Innovation & Technology Watch - Maintain active and structured monitoring of advances in AI/ML, LLMs, agents, NLP, as well as DevOps and MLOps best practices. - Anticipate technological developments and contribute to the technical roadmap.
Technical Leadership, Documentation & Collaboration - Be a key contributor to technical quality, knowledge sharing, and internal communication. - Produce clear documentation and provide technical support to teams.
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