Data Modeling Jobs – Seite 2

Warum echter KI-Job: The role explicitly focuses on building and deploying AI/ML solutions for customers, with a strong emphasis on GenAI, RAG, and LLMs. The responsibilities and qualifications are heavily centered around AI technologies and data science practices.

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a resear…

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Warum echter KI-Job: Der Jobtitel und die Beschreibung deuten klar auf eine Rolle hin, in der Machine Learning und Data Science im Kern stehen. Die Arbeit mit Customer Data impliziert die Anwendung von ML-Modellen zur Analyse und Verbesserung des Kundenerlebnisses.

(Senior) ML Engineer / Data Scientist Customer Data (m/w/d) Data Scientist

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Warum echter KI-Job: The job title explicitly mentions 'Machine Learning Engineer' and the description confirms a focus on machine learning tasks. This is a core AI role.

Machine Learning Engineer (m/w/d) Machine Learning Engineer

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Warum echter KI-Job: The role explicitly focuses on designing, building, and deploying ML models for marketing optimization, including advanced techniques like GenAI and LLMs. The description emphasizes the entire ML lifecycle and operationalization of models, indicating a core A…

The Growth Tech Alliance's goal is to enable HelloFresh to drive smarter marketing through AI-powered automation, intelligent systems, and advanced optimization. We've pioneered cutting-edge approaches to programmatic campaign optimization using state-of-the-art AI/ML technologies and are now scali…

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Warum echter KI-Job: The job title explicitly mentions 'Machine Learning Engineer' and the description focuses on building an agentic app platform. This indicates a core focus on developing and deploying ML models.

Staff Machine Learning Engineer, Agentic App Platform - Moveworks

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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…

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Warum echter KI-Job: The role explicitly focuses on building and owning AI features (coding agents) in production. The description details tasks directly related to the entire AI engineering lifecycle – design, prompt engineering, evaluation, deployment, measurement, and optimiza…

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collabor…

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Warum echter KI-Job: The role explicitly focuses on building and owning AI features in production, specifically coding agents for data. The description details tasks like prompt engineering, model evaluation, and building agentic workflows, indicating a core AI/ML focus.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collabor…

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Warum echter KI-Job: Der Jobtitel und die Beschreibung deuten klar auf eine Kernrolle im Bereich Machine Learning Engineering hin. Die Aufgaben umfassen die Entwicklung und Implementierung von ML-Modellen.

Senior Consultant - Machine Learning Engineering (m/w/d) Machine Learning Engineer

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Warum echter KI-Job: The role explicitly focuses on building and deploying data-driven models, conducting causal analysis, and leveraging machine learning techniques to improve Airbnb's marketplace and products. The job description highlights the direct impact of data science on…

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible f…

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