Warum echter KI-Job: The job title and company explicitly mention Machine Learning, Agentic AI Systems, and ServiceNow AI. The role is focused on building and deploying ML models.
Staff Machine Learning Engineer, Agentic AI Systems - Moveworks
Wie du LLM für Bewerbungen nutzt
Wenn ein Job LLM verlangt, sollte der Skill nicht nur als Stichwort im CV stehen. Besser sind ein kurzer Projektbeleg, ein Kursnachweis oder ein Portfolio-Beispiel. Für den Bewerbungscheck wird geprüft, ob der Skill in deinem Lebenslauf wirklich belegbar ist.
- Mini-Projekt oder Notebook dokumentieren
- relevante Tools und Methoden nennen
- im Anschreiben den Bezug zur konkreten Stelle herstellen
428
Treffer
82
Unternehmen
93.5
Durchschn. Score
102
Remote
10 Treffer auf dieser Seite. Insgesamt 428 Treffer. Weitere Treffer sind über die Seitennavigation, Firmen-, Skill- und Jobdetailseiten erreichbar.
Warum echter KI-Job: The job title explicitly mentions 'Machine Learning Engineer' and focuses on 'Agentic Application', indicating a core focus on developing and deploying ML models. The company, ServiceNow AI, further reinforces this.
Staff Machine Learning Engineer, Agentic Application
Warum echter KI-Job: The job title explicitly mentions 'Machine Learning' and focuses on 'Agentic Application', indicating a core focus on building and deploying ML models. The company, ServiceNow AI, further reinforces this.
Machine Learning Engineer, Agentic Application
Warum echter KI-Job: The job title explicitly mentions 'Machine Learning Engineer' and focuses on 'Agentic Application', indicating a core focus on building and deploying ML models. The company, ServiceNow AI, further reinforces this.
Senior Staff Machine Learning Engineer, Agentic Application
Warum echter KI-Job: The job title explicitly mentions 'Machine Learning Engineer' and focuses on 'Agentic Application', indicating a core focus on developing and deploying ML models. The company, ServiceNow AI, further reinforces this.
Staff Machine Learning Engineer, Agentic Application
Warum echter KI-Job: The job title explicitly mentions 'Machine Learning Engineer' and focuses on an 'Agentic App Platform', indicating a core focus on building and deploying ML models. The company, ServiceNow AI, further reinforces this.
Staff Machine Learning Engineer, Agentic App Platform
Warum echter KI-Job: The job title explicitly mentions 'Machine Learning' and focuses on 'Agentic AI Systems', indicating a core focus on developing and implementing AI solutions. The company, ServiceNow AI, further reinforces this.
Machine Learning Engineer, Agentic AI Systems - Moveworks
Machine Learning Engineer – Language Models and Agentic AI for Scientific Imaging
Deutsches Krebsforschungszentrum · Heidelberg, Neckar, Baden-Württemberg, Deutschland
95/100
Warum echter KI-Job: The job title and description explicitly focus on developing language models and agentic AI for a specific scientific application (imaging). This is core ML work.
Machine Learning Engineer – Language Models and Agentic AI for Scientific Imaging Informatiker/in
Member of Technical Staff (Data Scientist)
Perplexity AI · San Francisco
95/100
Warum echter KI-Job: The role is explicitly focused on building AI systems to automate and enhance data science workflows. The description heavily emphasizes AI agents, LLMs, and AI-native approaches. The core responsibilities are centered around AI development and deployment.
Perplexity is AI for people who expect more. This role brings that same standard to how our data team works - with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer - the kind of person who knows which metric actu…
Applied AI Engineer, Beneficial Deployments
Anthropic · London, UK
95/100
Warum echter KI-Job: The role explicitly focuses on applying and deploying LLMs, building agent architectures, and working with evaluation frameworks. The responsibilities are heavily centered around technical AI work.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…