You will take responsibility for clinical data science deliverables, applying your skills to ensure quality and efficiency.
Entwirft und implementiert KI-gestützte SAP-Lösungen mit Joule und SAP AI Core, identifiziert KI-Use-Cases und begleitet Prototypen bis zum Produktivbetrieb.
Berät Kunden zu SAP-Architektur und KI-Integration, konzipiert und implementiert KI-gestützte SAP-Lösungen mit Joule und generativer KI auf BTP.
Berät Kunden zu SAP Business AI/BTP, bewertet KI-Use-Cases und baut KI-gestützte SAP-Lösungen mit Joule und generativer KI.
Tensordyne engineers build software on a scalable, high-throughput internal developer platform.
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.
Du baust Agents und Workflows, die sich in bestehende Systeme einfügen, etwa in ERP, CRM, Microsoft 365 oder Zeiterfassung.
Dreht und plant Produktfilme und Social-Media-Content und integriert KI-generierte Szenen, Charaktere und Avatare in die Realfilm-Postproduktion.
As an Agent Strategist, you own how Sierra s AI agents come to life for our customers — from first pilot to a production agent handling thou
Migriert Kunden-Frontends zu Next.js, auditiert Performance und baut vor Ort produktive KI-Agenten mit TypeScript und AI SDK.
Improve our computer vision pipeline end to end, from person and hand tracking to action recognition with VLMs - Fine-tune and evaluate visi
Entwickelt und trainiert Deep-Learning-Modelle für Wahrnehmung und Navigation autonomer Schwermaschinen und integriert sie in Robotiksysteme.
Tabular data breaks the assumptions that make scaling work for language and vision.
Collaborate with our core development team to bring machine learning into production - Design and train ML models on large-scale clinical da
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.
Design and adapt vision-language and video models for scene understanding, temporal reasoning and activity / action recognition - Build and
Entwickelt und trainiert generative 3D-Weltmodelle und Diffusionsmodelle für Bild und Video, inklusive verteiltem Training und Produktivsetzung.
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
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.
As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
You will take responsibility for clinical data science deliverables, applying your skills to ensure quality and efficiency. Key responsibilities include: - Design, build, and deploy LLM-based applications, AI agents, and agentic workflows. - Develop RAG solutions, including document ingestion, embeddings, vector search, retrieval, and citations. - Build scalable Python applications and APIs, applying testing, Git, and CI/CD best practices. - Deploy and integrate AI solutions using AWS and/or Azure, including platforms such as AWS Bedrock and Azure OpenAI. - Implement LLM evaluation, guardrails, testing, and monitoring to ensure reliable, production-ready AI solutions.
You will bring relevant clinical data science experience, along with the following qualifications and skills. Required qualifications and experience: - 3+ years of relevant experience in AI, software engineering, cloud, or related technology environments. - Strong Python/software engineering skills, including APIs, testing, Git, and CI/CD. - Hands-on experience with GenAI/LLMs, such as Claude, OpenAI/Azure OpenAI, AWS Bedrock, or similar. - Proven experience with AI agents, tool/function calling, RAG, embeddings, and vector search. - Experience taking AI solutions from prototype to production, including deployment on AWS and/or Azure. Employment with ICON is contingent upon having the legal right to work in the country where the role is based.
Rewards &
may include: - Competitive base salary and performance related incentives - Health and wellbeing programmes including medical, dental, and vision coverage where applicable - Retirement and pension plans - Life assurance and disability coverage - Employee assistance programmes and wellbeing resources - Learning and development opportunities through structured training and career pathways Benefits may vary depending on role and location. Visit our careers site to read more about the
ICON offers. Inclusion and Accessibility ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported. If you require reasonable accommodations during the recruitment process, please let us know or submit a request here. Are you a current ICON Employee? Please click here to apply
AI Engineer At ICON Strategic Solutions, you will work in a sponsor-dedicated model, supported by ICON’s global expertise. As the world’s largest FSP organisation, with over 90 sponsor partnerships, we offer stability, career development and a collaborative environment where your work contributes to the development of treatments that benefit patients worldwide. As an AI Engineer at ICON, you will design, build, and deploy AI and GenAI solutions that support innovative business and scientific use cases.
You will work hands-on with LLMs, AI agents, RAG architectures, and cloud technologies, taking solutions from prototype through to production.
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