Act as the R&D domain expert and solution architect for Aily App modules: - Internally: Translate R&D routines into product requirements and
Define the enterprise AI & Automation strategy by evaluating business priorities, transformation opportunities and technology developments a
Integriert Deep-Learning-Modelle in DFT-Software, schreibt effiziente GPU-Implementierungen dafür und pflegt Open-Source-Releases.
Overview The mission of the team is to enable highly accurate and scalable predictions of the electronic structure of molecules and material
Entwirft und verantwortet Compute-Infrastruktur für große KI- und ML-Systeme inkl. verteiltem Training, und führt Architekturentscheidungen und Teams.
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.
Entwirft und betreibt GPU-Cluster und Deployment-Pipelines, bringt ML-Modelle in Produktion und überwacht deren Performance und Infrastrukturgesundheit.
Du entwickelst in abwechslungsreichen Projekten Machine-Learning- und GenAI-Lösungen für unsere Kunden, von LLM-Anwendungen und RAG-Systemen bis zu KI-Agenten.
Du entwickelst in abwechslungsreichen Projekten Machine-Learning- und GenAI-Lösungen für unsere Kunden, von LLM-Anwendungen und RAG-Systemen bis zu KI-Agenten.
Leitet die Entwicklung der digitalen SoC-Architektur für LLM-Inferenz-Chiplets und koordiniert dafür Design-, Verifikations- und Compiler-Teams.
Wir verbinden Menschen, Orte und das Leben.
This is a unique opportunity to shape how AI drives real impact in digital healthcare at Redcare Pharmacy.
This is a unique opportunity to shape how AI drives real impact in digital healthcare at Redcare Pharmacy.
Analytics befindet sich im Wandel: Klassische Data Warehouses entwickeln sich zu intelligenten, cloudbasierten Datenplattformen.
Every morning, thousands of people relearn to speak with myReha, and your models listen to every attempt.
Entwickelt KI-Emulatoren für biomolekulare Strukturen und Wechselwirkungen, schreibt Forschungscode und koordiniert Datenerhebung und Trainingsläufe.
KI für Bilder und Punktwolken entwickeln: Du entwickelst Anwendungen zur Auswertung von Bilddaten, Punktwolken und 3D-Daten, beispielsweise
Be responsible for a core pillar of Stenon’s products Scale our soil nutrient modelling to support more and more regions across the world Ov
Gerade starten wir neue Projekte, bei denen wir von Anfang an AI-first denken – von der Entwicklung bis zur Produktidee.
YOU ARE As a hands on AI Engineer, you will be at the heart of designing and building the components that make up advanced AI systems poweri
im Team Build the function.
CT is a European-based international engineering company with a clear mission: to provide innovative and technological solutions that help o
Leitung des Bereichs KI & ML mit mehreren Arbeitsgruppen, einschließlich medizinischer, industrieller und robotischer KI an den Standorten V
Introduction HeiGIT (Heidelberg Institute for Geoinformation Technology) As a nonprofit research institute, HeiGIT (Heidelberg Institute for
will combine hands-on technical exposure with scientific curiosity and business relevance: from extracting insights from client interactions
Warum dieser Job gelistet ist
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Act as the R&D domain expert and solution architect for Aily App modules: - Internally: Translate R&D routines into product requirements and AI decision logic, refine model performance, and shape the product roadmap and future high-impact R&D use cases. - Externally: Drive client value realisation by leading deployments, guiding R&D data readiness, validating AI through portfolio and clinical leadership feedback, up-skilling R&D managers and executives, and accelerating time to value.
R&D Solution Architecture - Translate research, portfolio governance, and clinical development routines into product requirements and AI decision logic - Define AI outcomes and R&D decision quality standards - Co-shape scalable product capabilities across research, portfolio, and clinical use cases - Partner with Product, ML, and Engineering on feasibility and R&D operational readiness - Define and own data requirements, data collection, and AI fine-tuning needs to accelerate deployment and time to value - Influence the product roadmap through client impact and adoption insights R&D Authority in the Room - Act as the trusted R&D domain expert for clients and internal Product and AI teams - Be the trusted advisor to Chief R&D Officers, Heads of R&D, portfolio leaders, clinical operations heads, and innovation executives - Represent R&D user needs in product and roadmap discussions - Communicate AI and data topics, assumptions, and trade-offs in clear business language Deployment, Adoption & Time-to-Value - Drive rollouts from entry-point use cases to enterprise-wide adoption - Own time to first active user and time to routine across R&D deployments - Upskill and evangelize R&D users through workshops, executive sessions, and engagement campaigns - Ensure AI becomes embedded into daily R&D governance, portfolio, and clinical decision-making cadences About You
Bachelor, Master, PhD, or MBA degree in Life Sciences, Engineering, Business, or a related field - Strong understanding of R&D decision-making in large enterprises, including portfolio governance and clinical development processes - 5+/7+ years of experience in R&D strategy, pharmaceutical consulting, clinical operations, portfolio management, or innovation leadership roles - Exposure to R&D analytics, performance management, or digital transformation initiatives - Tech-savvy profile with fluency in data and AI concepts, including data requirements and model behavior, gained through close collaboration with product and data science teams - Proven experience working with Fortune 500 or large enterprise clients - Extreme ownership mindset, with accountability for outcomes, adoption, and time to value - Strong communication skills with senior R&D and executive stakeholders - Ability to operate autonomously in complex, multi-stakeholder environments Strongly preferred - Background in tech consulting, solution architecture, or product-facing roles - Experience with AI-powered, analytics, or data-intensive R&D products - Exposure to enterprise SaaS environments - Experience mentoring, leading, or scaling small teams or domain practices - Experience working across global R&D organizations or multi-therapeutic portfolios teams Why Aily? - Work at the intersection of AI and enterprise decision-making, shaping how Fortune 500 companies operate - Take real ownership of outcomes, from product design to measurable business impact - Partner directly with senior leaders and executive teams across global organizations - Be part of a high-performing, international team with strong product and AI DNA - Hybrid setup with 2–3 days per week in our Barcelona, Madrid, Munich or NYC office - Competitive compensation with performance-based rewards - Open feedback culture, continuous learning, and freedom to experiment - Regular team off-sites, global events, and a culture that values ambition, autonomy, and impact Who are we? About Aily Aily Labs is a fast-growing applied AI scale-up founded in 2020, with hubs in Munich, Barcelona, Madrid, New York City, and Cluj-Napoca. We build AI-powered products that help large enterprises make better decisions, faster.
Our flagship AI mobile app delivers real-time, actionable business recommendations across core functions, breaking silos and embedding AI directly into daily business routines. We are the reference decision intelligence platform for AI-driven decision-making in large organizations.
Mission Mission As an R&D Business Impact Lead, you act as the domain expert and solution architect for Aily App R&D modules. Your mission is to embed Aily App into core R&D routines across research, portfolio governance, clinical development, and pipeline strategy, enabling Fortune 500 companies to move faster from signal to scientific and portfolio action. You own the Aily.r&d client journey from first integration to enterprise-wide adoption, ensuring the product is fully deployed, trusted, and embedded into daily R&D decision-making to deliver measurable performance impact.
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