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wird man KI-Entwickler:in? Trends, F\u00e4higkeiten, Anforderungen, Qualifikationen, Gehalt und Kurse f\u00fcr eine Karriere als KI-Entwickler:in","_yoast_wpseo_title":"KI-Entwickler:in Jobprofil - Was machen AI Developer? | Le Wagon","contenu_de_larticle":"<div class=\"row\">\r\n<div class=\"col-12 col-lg-8 container-content\">\r\n<h2>Was ist ein:e KI-Entwickler:in?<\/h2>\r\n<strong>K\u00fcnstliche Intelligenz (KI)<\/strong> ist eine der aufregendsten technologischen Entwicklungen unserer Zeit. Noch vor wenigen Jahrzehnten klang die Vorstellung von Computerprogrammen, die ihre eigene Intelligenz entwickeln k\u00f6nnen, wie Science Fiction. Heute ist sie ein integraler Bestandteil der sozialen Medien und Suchmaschinen, die wir t\u00e4glich nutzen. KI sagt uns, wohin wir gehen sollen, wenn wir den Weg nicht kennen, und manchmal kann sie sogar intelligent und sicher einparken. Man kann mithilfe von KI Besprechungen planen oder eine neue Lieblingsserie finden.\r\n\r\n<\/div>\r\nKI w\u00e4chst so schnell, dass<a href=\"https:\/\/www.statista.com\/statistics\/973815\/worldwide-digital-voice-assistant-in-use\/\"> Statista<\/a> prognostiziert, dass es bis 2023 8 Milliarden KI-gesteuerte Sprachassistenten geben wird. All das bedeutet, dass der Bedarf an KI-Entwickler:innen schnell w\u00e4chst. Wenn du daran interessiert bist, KI-Entwickler:in zu werden, gab es noch nie eine bessere oder aufregendere Zeit. Aber zun\u00e4chst mehr dar\u00fcber, was sie tun und wie es ist, KI-Entwickler:in zu sein.\r\n<div class=\"col-12 col-lg-8 container-content\">\r\n<h2>Was machen KI-Entwickler:innen? Stellenbeschreibung und Aufgaben<\/h2>\r\nDie Definition von KI-Entwickler:innen ist ziemlich selbsterkl\u00e4rend: <strong>Sie entwickeln die Software und Anwendungen k\u00fcnstlicher Intelligenz, die ein bestimmtes Unternehmen verwenden kann.<\/strong> Sie programmieren Systeme, die sich auf der Grundlage der gesammelten und analysierten Daten an die Bed\u00fcrfnisse des Unternehmens anpassen. Ein Beispiel daf\u00fcr ist die KI, die entscheidet, welche Filme und Fernsehsendungen einem von der bevorzugten Streaming-Site empfohlen werden, oder welche Produkte auf der Grundlage fr\u00fcherer Eink\u00e4ufe empfohlen werden.\r\n\r\nAus diesem Grund arbeiten AI Developer oft mit Dateningenieur:innen, Maschineningenieur:innen und Datenwissenschaftler:innen zusammen. Sie warten diese Systeme auch, um sicherzustellen, dass alles reibungslos funktioniert. Einige der Aufgaben, die KI-Entwickler:innen haben k\u00f6nnen, umfassen:\r\n<ul>\r\n \t<li>Verschiedene gesch\u00e4ftliche Herausforderungen mit AI-Software l\u00f6sen<\/li>\r\n \t<li>KI-Systeme entwerfen, entwickeln, implementieren und \u00fcberwachen<\/li>\r\n \t<li>Projektmanager:innen und Stakeholdern die Potenziale und Grenzen von KI-Systemen erkl\u00e4ren<\/li>\r\n \t<li>die Architektur f\u00fcr die Datenerfassung und den Datentransfer entwickeln<\/li>\r\n \t<li>Neue KI-Technologien finden, die im Unternehmen implementiert werden k\u00f6nnen<\/li>\r\n \t<li>Teams im Umgang mit KI-Systemen schulen<\/li>\r\n<\/ul>\r\n<h2>KI-Entwickler:innen vs. Machine Learning Ingenieur:innen<\/h2>\r\n<\/div>\r\nKI-Entwickler:innen und <a href=\"https:\/\/blog.lewagon.com\/career\/tech-jobs-data-science-machine-learning-engineer\/\">Machine Learning Ingenieur:innen<\/a> sind \u00e4hnliche Berufsfelder, und sie arbeiten zusammen, um die besten Systeme f\u00fcr das Unternehmen zu entwickeln. Dennoch gibt es einen Unterschied zwischen ihnen. Im Gro\u00dfen und Ganzen h\u00e4ngt dieser Unterschied mit dem Unterschied zwischen KI und maschinellem Lernen zusammen. Obwohl es viele \u00dcberschneidungen gibt, ist<strong> maschinelles Lernen nur ein Teil der KI und nicht das Ganze.<\/strong>\r\n<div class=\"col-12 col-lg-8 container-content\">\r\n<h3>Machine Learning<\/h3>\r\nUnter maschinellem Lernen versteht man den Einsatz von Software und Anwendungen, die in der Lage sind, aus fr\u00fcheren Anwendungen zu lernen, wie sie eine <strong>verbesserte und optimierte Erfahrung bieten k\u00f6nnen.<\/strong> Dabei werden Statistiken und Erkenntnisse des Operations Research verwendet, um der Software zu helfen, sich im Laufe der Zeit anzupassen, w\u00e4hrend sie verwendet wird. Obwohl dies praktisch und n\u00fctzlich ist, handelt es sich dabei nicht ausschlie\u00dflich um KI.\r\n<h3>KI<\/h3>\r\nDie KI nutzt sowohl das maschinelle Lernen als auch das Tiefenlernen, bei dem gr\u00f6\u00dfere neuronale Netze eingesetzt werden, um komplexere Programme zu erlernen und das Wissen des Softwareprogramms oder der Anwendung zu erweitern. Das Ziel von KI ist nicht nur Anpassung, sondern auch \"Intelligenz\". Denk an dein Smartphone oder an Haushaltsger\u00e4te wie einen intelligenten K\u00fchlschrank oder einen intelligenten M\u00fclleimer. Auch Dein GPS ist ein gutes Beispiel f\u00fcr KI.\r\n\r\nMachine Learning-Ingenieur:innen sind verantwortlich f\u00fcr die Entwicklung der maschinellen Lernprozesse, w\u00e4hrend ein KI-Entwickler:innen mit KI arbeiten, um ihre Unternehmen in die Zukunft zu f\u00fchren.\r\n<h2>Top-Tools, die von KI-Entwickler:innen genutzt werden<\/h2>\r\nAI Developer - oder alle Software-Profis - sind nur so gut wie ihre Werkzeuge. W\u00e4hrend eine der Aufgaben von KI-Entwickler:innen darin besteht, <strong>KI-Systeme von Grund auf zu entwickeln<\/strong>, verwenden sie Tools und Sprachen, die fast jeder Programmierer:in verwendet, um diese Systeme zu erstellen und f\u00fcr diejenigen, die sie nutzen, zug\u00e4nglich zu machen. Einige der Tools, die KI-Entwickler:innen verwenden k\u00f6nnten, sind\r\n<ul>\r\n \t<li>Programmiersprachen wie Java, Scala oder Python<\/li>\r\n \t<li>Deep-Learning-Plattformen wie H20.AI<\/li>\r\n \t<li>Bibliotheken f\u00fcr Deep Learning<\/li>\r\n \t<li>Google Assistants zur Implementierung in KI-Systemen<\/li>\r\n \t<li>Cloud Plattformen wie Azure oder Google Cloud AI<\/li>\r\n \t<li>IBM Watson KI-L\u00f6sungen<\/li>\r\n \t<li>APIs wie OpenGL oder PhysX<\/li>\r\n \t<li>Profiling-Tools wie Perl oder Perforce<\/li>\r\n \t<li>Analysewerkzeuge wie TensorFlow, Torch und PyTorch<\/li>\r\n<\/ul>\r\n<h2>Ausbildungs- und Hintergrundanforderungen - Welche Art von Person macht eine:n guten KI-Entwickler:in aus?<\/h2>\r\nBist du ein:e nat\u00fcrliche:r Probleml\u00f6ser:in, ein:e kritische:r Denker:in und jemand, der sich f\u00fcr die Welt der KI begeistert? Dann k\u00f6nnte eine Karriere als AI Developer der perfekte Job f\u00fcr dich sein. Ein intensives <a href=\"https:\/\/www.lewagon.com\/data-science-course\">Bootcamp in Data Science &amp; AI<\/a> oder ein Bachelorabschluss in Informatik, Ingenieurwissenschaften, Spielentwicklung oder Programmierung ist ein Muss f\u00fcr eine:n potenzielle:n KI-Entwickler:in. Ein Master-Abschluss ist nicht unbedingt erforderlich, es sei denn, du planst, f\u00fcr ein gro\u00dfes Unternehmen wie eine gro\u00dfe Spieleentwicklungsfirma zu arbeiten, aber du kannst einen Master-Abschluss in K\u00fcnstlicher Intelligenz machen, um einen Vorteil in der Branche zu haben.\r\n\r\nDu wirst keine F\u00fclle von Berufserfahrung ben\u00f6tigen, um dich f\u00fcr deinen ersten Job als KI-Entwickler:in zu bewerben. Du musst jedoch vor allem nachweisen, dass du mit den Tools vertraut bist, die ben\u00f6tigt werden, um als AI Developer zu arbeiten, und dass du die F\u00e4higkeiten und die Pers\u00f6nlichkeit hast, nach denen das Unternehmen sucht.\r\n<h2>F\u00e4higkeiten, die KI-Entwickler:innen ben\u00f6tigen<\/h2>\r\nDu hast also die Ausbildung und die Erfahrung. Die n\u00e4chste Frage ist, ob du die richtige Pers\u00f6nlichkeit hast. Die F\u00e4higkeiten, die ein:e KI-Entwickler:in ben\u00f6tigt, k\u00f6nnen leicht erlernt werden, wenn du die Zeit daf\u00fcr aufbringst, sowie die Art von Pers\u00f6nlichkeit, die f\u00fcr den Job geeignet ist. Einige der F\u00e4higkeiten, die du als KI-Entwickler:in ben\u00f6tigst sind:\r\n<h3>Mathematik und Algorithmen<\/h3>\r\nDie Entwicklung von KI ist - wie die meiste Programmierung - eine Frage der Mathematik. KI-Entwickler:innen sollten Expert:innen im Probleml\u00f6sen sein und gerne an einer logischen Herausforderung arbeiten. Sie sollten sich auch mit Algorithmen auskennen - wie sie funktionieren, wie man sie erstellt und wie man sie verbessert. Wenn du die Art von Mensch bist, die st\u00e4ndig mathematische Gleichungen l\u00f6st, ist das ein gro\u00dfartiger Job f\u00fcr dich.\r\n<h3>Wahrscheinlichkeitsrechnung und Statistik<\/h3>\r\nWahrscheinlichkeitsrechnung und Statistik sind die wichtigsten Elemente der KI. Es geht darum, nach Mustern und Trends zu suchen, um Vorhersagen treffen und sich entsprechend anpassen zu k\u00f6nnen. KI-Entwickler:innen sollten mit einer Vielzahl von statistischen Methoden und Wahrscheinlichkeitstheorien vertraut sein, um ihre KI-Produktionen erfolgreich zu gestalten.\r\n<h3>Sicherer Umgang mit Programmiersprachen<\/h3>\r\nF\u00fchlst du dich auch manchmal so, als w\u00fcrdest du in Java oder Python sprechen? AI Developer sind Programmierer:innen, daher ist es wichtig, Expert:in in g\u00e4ngigen Programmiersprachen zu sein. Dazu geh\u00f6ren Python und R, aber auch Java, C++ und Scala. Diese Programmiersprachen helfen dir, komplexere und optimierte Algorithmen zu entwickeln..\r\n<h3>Multitasking und Kompetenz im Umgang mit verschiedenen IT-Werkzeugen<\/h3>\r\nKI-Entwickler:innen arbeiten mit Datenwissenschaftler:innen und Datenanalyst:innen zusammen, die ihre Daten aus einer Vielzahl von Quellen sammeln. Es gibt einfach zu viele Daten auf der Welt, um sie nur einer oder zwei Quellen zu \u00fcberlassen. Daher sollten AI-Entwickler:innen mit mehreren Computertools und Datensammlungsmethoden umgehen k\u00f6nnen und f\u00e4hig sein, mehrere Dinge auf ihrer Agenda (oder ihrem Bildschirm) zu haben.\r\n<h3>Flexibilit\u00e4t und schnelles Lernen<\/h3>\r\nWie bereits erw\u00e4hnt, wird es notwendig sein, auf verschiedene Quellen zur\u00fcckzugreifen, um Daten zu sammeln und zu analysieren und die AI selbst zu entwickeln. KI-Entwickler:innen sollten flexibel sein und sich von Projekt zu Projekt bewegen k\u00f6nnen. Sie sollten auch schnelle Lerner:innen sein, die in der Lage sind, ein neues System zu erlernen, wenn es eingef\u00fchrt wird.\r\n<h2>Wie viel verdienen Entwickler:innen im Bereich K\u00fcnstliche Intelligenz?<\/h2>\r\nEin Job als KI-Entwickler:in ist nicht nur aufregend, sondern die Arbeit in der K\u00fcnstlichen Intelligenz zahlt sich auch aus. KI-Entwickler:innen haben ein durchschnittliches Gehalt von etwa 75.000 US-Dollar und erhalten manchmal Boni in Form von Gewinnbeteiligungen und Provisionen. Da es sich um einen sehr gefragten Beruf handelt, ist die Arbeitsplatzsicherheit hoch, was bedeutet, dass du von dieser finanziellen Stabilit\u00e4t und der M\u00f6glichkeit, im Laufe der Jahre Boni und Gehaltserh\u00f6hungen zu erhalten, profitieren kannst.\r\n\r\nDu kannst dich entscheiden, ob du f\u00fcr den Rest deiner Karriere in der Entwicklung k\u00fcnstlicher Intelligenz t\u00e4tig sein m\u00f6chtest, oder ob du dich f\u00fcr einen anderen Bereich innerhalb dieses Feldes entscheidest.\r\n<h2>Verwandte Karrieren in Software und Data<\/h2>\r\nEs ist selten, dass jemand sein ganzes Berufsleben lang in derselben Position bleibt. Du k\u00f6nntest eine Leidenschaft f\u00fcr Software, k\u00fcnstliche Intelligenz oder Daten haben. Selbst wenn du nicht f\u00fcr die gesamte Dauer deiner Karriere KI- Entwickler:in bleibst, k\u00f6nntest du zu anderen Positionen innerhalb von KI oder Daten wechseln, die \u00e4hnlich sind oder einen Aufstieg von deiner aktuellen Position darstellen. Einige dieser Positionen k\u00f6nnten sein:\r\n<ul>\r\n \t<li>Machine Learning Engineer - durchschnittliches Gehalt 146.085 US-Dollar in den USA<\/li>\r\n \t<li>Data Scientist - Durchschnittsgehalt 96.100 US-Dollar in den USA<\/li>\r\n \t<li>Research Scientist - durchschnittliches Gehalt 80.285 US-Dollar in den USA<\/li>\r\n \t<li>Business Intelligence Developer - Durchschnittsgehalt 80.103 US-Dollar in den USA<\/li>\r\n<\/ul>\r\nDiese Zahlen stammen alle von <a href=\"http:\/\/www.payscale.com\/\">Payscale<\/a> und bedeuten allesamt eine Gehaltssteigerung im Vergleich zu KI-Entwickler:innen. Aber selbst ein vergleichbares Gehalt - wie das eines Business Intelligence Developers - kann immer noch einen interessanten Karrieresprung darstellen und Abwechslung bieten, w\u00e4hrend du weiterhin in dem Bereich arbeitest, f\u00fcr den du dich begeisterst.\r\n<h2>Wie werde ich AI Developer? \u2013 Mit Hilfe von Le Wagon!<\/h2>\r\nBist du bereit, eine Karriere als KI-Entwickler:in zu starten? M\u00f6chtest du deine F\u00e4higkeiten verbessern, um dir einen Wettbewerbsvorteil auf dem Arbeitsmarkt zu verschaffen? Ob du gerade dein Studium mit einem Bachelor-Abschluss und einem Karriereplan abschlie\u00dft oder nach einiger Zeit im Berufsleben den Beruf wechselst - es ist eine gro\u00dfartige Zeit, um ein AI Developer zu werden. Und es gibt nie einen schlechten Zeitpunkt, um neue F\u00e4higkeiten zu erlernen und sich zu verbessern.\r\n\r\nWenn es um Web Development oder Data Science geht, ist Le Wagon f\u00fcr dich da. Wir haben mehr als 40 Standorte in ganz Europa, im asiatisch-pazifischen Raum, in Amerika, im Nahen Osten und in Afrika. An diesen Standorten kannst du an unseren Coding Bootcamps teilnehmen, intensiven Programmen, in denen du von Branchenexperten lernen und dich mit Gleichgesinnten vernetzen kannst. Wir bieten:\r\n<ul>\r\n \t<li>Ein 9-w\u00f6chiges <a href=\"https:\/\/www.lewagon.com\/web-development-course\">Web Development Bootcamp<\/a> (Vollzeit)<\/li>\r\n \t<li>Ein 24-w\u00f6chiges Web Development Bootcamp (Teilzeit)<\/li>\r\n \t<li>Ein 9-w\u00f6chiges <a href=\"https:\/\/www.lewagon.com\/data-science-course\">Data Science &amp; AI Bootcamp<\/a> (Vollzeit)<\/li>\r\n \t<li>Ein 24-w\u00f6chiges Data Science &amp; AI Bootcamp (Teilzeit)<\/li>\r\n<\/ul>\r\nIn all diesen Kursen wirst du an Projekten arbeiten, die die Art der Arbeit widerspiegeln, die du im Job machen wirst, und du wirst an Vorlesungen und Diskussionsrunden teilnehmen. Im Data Science Bootcamp kannst du dich zwei Wochen lang mit maschinellem Lernen und eine Woche lang mit Deep Learning besch\u00e4ftigen, um dir das Wissen anzueignen, das du f\u00fcr die Entwicklung von KI-Systemen ben\u00f6tigst. Das Bootcamp beinhaltet sogar Entspannungsphasen wie Yoga, um sich vom mentalen Stress des intensiven Programmierens zu erholen.\r\n\r\nIn Kombination mit einem wissenschaftlichen Hintergrund und einigen Monaten des Selbstlernens wird dir unser Data Science Bootcamp sicherlich erm\u00f6glichen, ein:e erfolgreiche:r KI-Entwickler:in zu werden.\r\n<h2>M\u00f6chtest du mehr \u00fcber unsere Coding-Bootcamps erfahren?<\/h2>\r\n<\/div>\r\nLade unseren Lehrplan herunter, entdecke unser <strong>Data Science &amp; AI Bootcamp<\/strong> und erfahre mehr \u00fcber unsere Alumni und die Community! Antworten auf h\u00e4ufig gestellte Fragen findest du <a href=\"https:\/\/www.lewagon.com\/de\/faq\">hier<\/a>.\r\n\r\n&nbsp;\r\n\r\n<\/div>\r\n<div class=\"col-12 col-md-6\">\r\n\r\n[embed]https:\/\/www.youtube.com\/watch?v=LyirN79ANos[\/embed]\r\n<h3><\/h3>\r\n<h3 class=\"fs-20 mb-24 fw-bold\">Alle Berufe im Bereich Data<\/h3>\r\n<ul>\r\n \t<li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"https:\/\/blog.lewagon.com\/career\/tech-jobs-data-science-machine-learning-engineer\/\"><span style=\"font-weight: 400;\">Machine Learning Engineer<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"https:\/\/blog.lewagon.com\/career\/tech-jobs-data-science-data-engineer\/\"><span style=\"font-weight: 400;\">Data Engineer<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"https:\/\/blog.lewagon.com\/career\/tech-jobs-data-science-data-product-owner\/\"><span style=\"font-weight: 400;\">Data Product Owner<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"https:\/\/blog.lewagon.com\/career\/tech-jobs-data-science-data-analyst\/\"><span style=\"font-weight: 400;\">Data Analyst<\/span><\/a><\/li>\r\n \t<li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"https:\/\/blog.lewagon.com\/career\/tech-jobs-data-science-data-scientist\/\"><span style=\"font-weight: 400;\">Data Scientist<\/span><\/a><\/li>\r\n<\/ul>\r\n<\/div>","_contenu_de_larticle":"field_6412588b55814","titre_de_la_banniere":"","_titre_de_la_banniere":"field_6422eb732c237","paragraphe_de_la_banniere":"","_paragraphe_de_la_banniere":"field_6422ed834a968","intitule_du_bouton_de_la_banniere":"","_intitule_du_bouton_de_la_banniere":"field_6422ed934a969","lien_du_bouton_de_la_banniere":"","_lien_du_bouton_de_la_banniere":"field_6422eda54a96a","yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.5 (Yoast SEO v27.6) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>KI-Entwickler:in Jobprofil - Was machen AI Developer? | Le Wagon<\/title>\n<meta name=\"description\" content=\"Wie wird man KI-Entwickler:in? 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