[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fde-global\u002Fjobs-by-expertise\u002Fai-research":3,"seo-content-expertise-ai-research-global":6,"expertise-filters-\u002Fde-global\u002Fjobs-by-expertise\u002Fai-research":35,"featured-jobs-\u002Fde-global\u002Fjobs-by-expertise\u002Fai-research":42},{"total":4,"jobs":5},0,[],{"image_path":7,"content_de":8,"content_en":21,"composite_key":34,"last_updated":7},null,{"tab1":9,"tab2":12,"tab3":15,"tab4":18},{"title":10,"content":11},"Bedeutung & Relevanz","**KI-Forschung** ist eine Schlüsselkompetenz in der modernen Technologielandschaft, die sich mit der Entwicklung und Verbesserung von Algorithmen, Modellen und Systemen der künstlichen Intelligenz befasst. Sie treibt Innovationen in Bereichen wie maschinelles Lernen, natürliche Sprachverarbeitung und Computer Vision voran und ist entscheidend für die Schaffung intelligenter Lösungen, die Effizienz steigern und neue Geschäftsmöglichkeiten eröffnen. In einer zunehmend datengesteuerten Welt ist KI-Forschung unverzichtbar, um Wettbewerbsvorteile zu sichern und gesellschaftliche Herausforderungen zu adressieren, von der Gesundheitsversorgung bis zur Nachhaltigkeit.",{"title":13,"content":14},"Top-Branchen & Standorte","KI-Forschung ist in einer Vielzahl von Branchen gefragt, darunter **Künstliche Intelligenz**, **Finanztechnologie**, **Gesundheitssoftware**, und **Bankwesen und Finanzdienstleistungen**. Top-Standorte mit hoher Nachfrage sind **München** (als Teil von Bayern, bekannt für Technologie-Hubs), **Berlin** (ein Zentrum für Start-ups und Innovation), **Zürich** (mit starkem Fokus auf Forschung und Entwicklung), und **Stuttgart** (Heimat führender Automobil- und Technologieunternehmen). Diese Orte bieten dynamische Ökosysteme mit Zugang zu Talent, Investitionen und Infrastruktur, die KI-Forschung fördern.",{"title":16,"content":17},"Gefragte Skills & Arbeitgeber","Top-verwandte Expertise umfasst **KI-Integration**, **KI-Implementierung**, und **KI-Infrastrukturerweiterung**. Führende Unternehmen, die KI-Forschung benötigen, sind oft in Branchen wie **Künstliche Intelligenz** und **Finanztechnologie** tätig, darunter globale Tech-Firmen, Fintech-Start-ups und etablierte Finanzinstitute. Diese Arbeitgeber suchen Experten, die innovative KI-Lösungen entwickeln und in bestehende Systeme integrieren können, um Geschäftsprozesse zu optimieren und neue Produkte zu schaffen.",{"title":19,"content":20},"Karriere & Entwicklung","Karrierewege in der KI-Forschung reichen von Forschungsrollen in Akademia oder Industrie bis hin zu Positionen als Data Scientist oder KI-Ingenieur in Unternehmen. Um die Fähigkeit zu erlernen, empfehlen sich fortgeschrittene Studiengänge in Informatik oder Data Science, praktische Erfahrung durch Projekte und die Nutzung von Tools wie **KI-Dienste z.B. Azure OpenAI** und **KI-gestützte Forschung**. Verwandte IT-Skills wie **Algorithmenentwicklung** und **KI-gestützte Anwendungen** sind entscheidend für den Erfolg. Kontinuierliches Lernen durch Kurse, Zertifizierungen und die Teilnahme an Forschungsgemeinschaften fördert die berufliche Entwicklung.",{"tab1":22,"tab2":25,"tab3":28,"tab4":31},{"title":23,"content":24},"Strategic Importance","**AI Research** is a critical expertise driving innovation across industries by developing advanced algorithms, models, and systems that enable machines to learn, reason, and solve complex problems. Its strategic importance lies in its ability to enhance efficiency, create new business opportunities, and address global challenges such as healthcare optimization, climate change, and financial risk management. By focusing on **AI Research**, organizations can gain a competitive edge through cutting-edge technologies like **AI and automation technologies**, leading to transformative applications in areas such as **AI-supported research** and **AI-supported solutions**.",{"title":26,"content":27},"Top Industries & Locations","**AI Research** is in high demand across various industries, with top sectors including **Artificial Intelligence**, **Finance and Technology**, **Healthcare Software**, and **Automotive**. Key locations where this expertise thrives include **Singapore**, known for its tech innovation hubs; **Madrid**, a growing center for AI startups; **Zürich**, with its strong focus on financial and technological research; **Stuttgart**, a hub for automotive and engineering advancements; and **Sydney**, which boasts a vibrant tech ecosystem. These cities offer robust environments for **AI Research** due to their investment in technology and collaboration with academic institutions.",{"title":29,"content":30},"In-Demand Skills & Employers","Top related expertise for **AI Research** includes **AI Integration**, **AI Implementation**, and **AI Technologies**, which are essential for applying research findings to real-world problems. Leading companies that require this skill often operate in sectors like **Fintech**, **Banking and Finance**, and **Insurance and Financial Services**. For instance, firms in **Singapore** and **Zürich** frequently seek experts in **AI Research** to develop innovative solutions, leveraging skills in **AI-supported applications** and **algorithm development** to stay ahead in competitive markets.",{"title":32,"content":33},"Career & Development","A career in **AI Research** typically starts with a strong foundation in computer science, mathematics, or related fields, often through advanced degrees. Professionals can progress into roles such as AI researcher, data scientist, or machine learning engineer. To develop this expertise, focus on learning top related IT skills like **AI Services eg Azure OpenAI**, **algorithm development**, and **AI-focused data catalog tools**. Engaging in **AI Research** projects and gaining experience with **AI and automation technologies** can enhance career growth, with opportunities for specialization in areas like **AI integration** or **AI implementation** through continuous learning and industry certifications.","expertise:ai-research",{"industry":36,"employment_type":37,"expertise_skills":38,"it_skills":39,"salary_currency":40,"processed_working_hours":41},[],[],[],[],[],[],{"total":43,"jobs":44},1,[45],{"id":46,"slug":47,"title":48,"raw_title":7,"is_featured":49,"company":50,"raw_hiringOrganization_logo_url":7,"processed_city_gmaps":54,"processed_country_iso_code_gmaps":56,"processed_home_office":58,"processed_salary_min":59,"processed_salary_max":60,"processed_salary_currency":61,"processed_salary_source":7,"processed_working_hours":62,"processed_employment_types":64,"processed_it_skills":65,"processed_it_skills_labels":7,"processed_job_expertise_skills":66,"processed_job_expertise_skills_labels":68,"max_cpc":75,"actual_cpc":7},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":51,"slug":52,"logo_url":53},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[55],"Frankfurt am Main",[57],"DE","HYBRID",45000,65000,"EUR",[63],"full_time","PERMANENT",{},{"Financial Analysis":67,"Regulatory Compliance":67,"New Customer Acquisition":67,"Private Banking Advisory":67,"Banking Products Knowledge":67,"Customer Relationship Management":67},3,[69,70,71,72,73,74],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Regulatory Compliance","Customer Relationship Management","New Customer Acquisition",0.8]