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effective user experience. Applies principles of trust, transparency, and explain ability to ensure ethical, user-centered AI design. Develops and refines prompts for large language models (LLMs) to generate
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grades. International degrees or experience, LLM. Excellent knowledge of English is a prerequisite for this position. Working knowledge of French and/or Spanish is considered an asset. Please include: 1
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distribution and access software (ERDDAP, cloud technologies and containers such as S3) and cloud native formats such as Zarr and GeoParquet is desired. Knowledge of LLM/AI chatbots is helpful as a supplement
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. Integrate components such as task decomposition, code synthesis, test generation, and evaluation. Evaluate Agentic Behavior in Code Generation Assess how agentic systems (e.g., those using LLMs with
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learning university. In this competition, experience in research and/or development in Large Language Models (LLM) and their respective applications is valued. Where to apply Website https
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learning, large language models, and the theory of deep learning. The candidate will develop DRL algorithms for online and off-line tasks, for robotic applications and possibly for LLM reasoning applications
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empowers people and the city in Singapore (M3S) for a period of 1 year with possible renewal/extension. With the recent emergence of large language models (LLMs), the research engineers will assist in
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growth in student numbers. We are committed to supporting the Aberdeen 2040 agenda https://www.abdn.ac.uk/2040/ in addition to the Qatar National Vision 2030. With over 528 years of history, the ‘ancient
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Maintain deployment of visualization tools and statistical environments in Qlik, Snowflake and Posit. Leverage LLMs (proprietary or open-source) for text processing, such as analyzing donor contact reports
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AI workloads: embeddings, vector search, RAG, LLM orchestration pipelines. Experience with ETL/ELT frameworks, API integrations, and event streaming (Kafka/EventHub). Understanding of data modeling