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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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: The Agentic AI Engineer will help design, build, and evaluate AI agents and large language model (LLM)-powered systems that automate multi-step workflows, retrieve and reason over clinical and research data
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here: https://itacademy.harvard.edu/ . Job Description The AI Solutions Architect serves as a critical link between the FAS community and the rapidly evolving landscape of AI capabilities. The Architect
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built-in checks on resource limits, timing, and hardware compatibility; integrate large language models (LLM) running on open academic hardware through standard tool interfaces; create validation
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partners. Writing, submitting, and publishing in scientific journals are expected. Where to apply Website https://utc.recruitee.com/o/detection-danomalies-visuelles-complexes-par-appren… Requirements
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technologies in NLP, LLMs, and RAG. Programming skills in Python, including experience with machine learning libraries (e.g., PyTorch, Scikit-learn, Hugging Face Transformers) and development tools (e.g., Co
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technologies in NLP, LLMs, and RAG. Programming skills in Python, including experience with machine learning libraries (e.g., PyTorch, Scikit-learn, Hugging Face Transformers) and development tools (e.g., Co
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technologies in NLP, LLMs, and RAG. Programming skills in Python, including experience with machine learning libraries (e.g., PyTorch, Scikit-learn, Hugging Face Transformers) and development tools (e.g., Co
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logic (backend). Integration of LLM APIs and other services (e.g., databases, cloud systems). Designing and developing scalable and efficient systems. Collaborating on the development and testing of AI
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, Computer Science, Communication, Media Management, Business, Digital Media, or a closely related field (a doctoral degree is preferred). Demonstrable hands-on experience with generative AI/LLMs, AI agent development