Google Cloud Platform (GCP)
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When the cloud became the inevitable future, Google, naturally, decided it needed a piece of the action. Google Cloud Platform emerged, promising to democratize access to cutting-edge infrastructure and, crucially, to leverage Google’s internal innovations—the same tech powering search and YouTube, now available for your applications. Quite clever, really, though one does wonder if anyone outside Google fully understands how it all fits together.
In practice, GCP is a robust, if somewhat Byzantine, collection of services. It’s strong on data analytics and machine learning, boasting tools like BigQuery that genuinely impress. However, navigating the console feels less intuitive than AWS or Azure, and documentation can be...let's say, a scavenger hunt. While gaining traction with data-focused enterprises and startups embracing Kubernetes, it still plays a distant third fiddle in the overall cloud wars. It’s a powerful platform, certainly, but one that demands a dedicated team to truly unlock its potential.
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Jobs in using Google Cloud Platform (GCP) for but please no
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data scientist
Data Scientist - Quick Commerce @ delivery-hero-se
DE | 2025-12-26
Delivery Hero's Data Scientist on the Quick Commerce team is pitched as building an AI engine to automate and optimize the global product catalog at scale. You’ll tackle attribute extraction,...
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Go, AI/ML, NLP, LLM, Data Science, Python, PhD, Cloud Computing, GCP | ||
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data scientist
Manager AI & Data Analytics / Data Science (m/w/d) in Berlin @ deloitte
DE | 2025-12-25
Deloitte seeks a Manager in AI & Data Analytics within Digital Risk Advisory, promising end-to-end impact from strategy to scalable AI for Fortune 500 clients. You’ll lead teams from data...
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AI/ML, Data Analytics, Data Management, Data Engineering, Data Science, Analytics, Cloud Computing, AWS, GCP, Azure, Python, TensorFlow, Keras, PyTorch, R, Java, C++, SQL, Spark, Hadoop, Qlik, Tableau | ||
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promoted
O'Reilly: Building AI Agents with Model Context Protocol (MCP)Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs. |
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data scientist
Senior Data Scientist, MarTech Alliance (f/m/x) @ hellofresh
DE | 2025-12-24
A Senior Data Scientist focusing on predictive analytics and advanced feature engineering for HelloFresh's AI decisioning platform, with a differentiator being the exploration of Generative AI for...
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AI/ML, Analytics, GenAI, Marketing, Data Science, Python, Pandas, SQL, CRM, Databricks, PySpark, Cloud Computing, AWS, GCP, Azure, LLM |
