You will take responsibility for clinical data science deliverables, applying your skills to ensure quality and efficiency.
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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.
Collaborate with our core development team to bring machine learning into production - Design and train ML models on large-scale clinical da
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Leitet SAP-BTP-Projekte, entwirft Architekturen und agentenbasierte KI-Workflows und berät Kunden von der Strategie bis zur Umsetzung.
Role Purpose The purpose of this role is to design, test, and maintain software programs for operating systems or applications which need to
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on this role - Strong professional experience in Python software development - Proven experience building AI-driven or agentic systems, pref
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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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Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeKI in bestehende Software und Abläufe bringen: Agenten, RAG-Systeme, Schnittstellen, automatisierte Arbeitsketten.