Python Jobs – Seite 23

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…

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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 researching machine learning models, LLMs, and AI systems for core Instacart products (search, recommendations, ads). The job description details specific AI/ML tasks and technologies.

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless o…

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Warum echter KI-Job: The role explicitly focuses on applying advanced causal inference and measurement techniques to quantify the impact of new product features. Responsibilities center around building production-grade causal models and establishing evaluation frameworks, indicat…

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Rider team is the heartbeat of Lyft business. Every feature you build translates to a better experience for millions of riders…

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Warum echter KI-Job: The role explicitly focuses on applying advanced causal inference and measurement techniques to quantify the impact of new product features. The responsibilities center around building production-grade causal models and evaluation frameworks, indicating a cor…

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Rider team is the heartbeat of Lyft business. Every feature you build translates to a better experience for millions of riders…

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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: Die Masterarbeit konzentriert sich direkt auf die Entwicklung von Machine Learning Modellen zur Datengenerierung im Bereich Gestenerkennung. Dies ist ein klarer Kern-KI-Job.

Masterarbeit Machine Learning für synthetische Datengenerierung im Bereich Gestenerkennung (w/m/x) Machine Learning Engineer

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Warum echter KI-Job: The role explicitly focuses on building and deploying ML models for observability, anomaly detection, and GenAI/LLM applications. It requires strong statistical foundations and production experience with data science solutions.

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global…

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Warum echter KI-Job: The role explicitly focuses on building and deploying machine learning models for payment risk and fraud detection, working across the entire model development lifecycle. The description emphasizes leveraging unique datasets to identify high-impact ML opportu…

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of peopl…

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