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Develop and fine-tune Large Language Models (LLMs) to improve performance across various NLP tasks.
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Implement retrieval-augmented generation (RAG) techniques for enhanced AI-driven search and recommendation systems.
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Design and optimize machine learning classification systems and multitask learning models.
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Work with NLP frameworks such as SpaCy, Stanza, and NLTK to develop advanced text-processing solutions.
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Utilize cloud computing platforms and MapReduce for scalable data processing.
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Perform semantic search and prompt engineering to improve AI model outputs.
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Develop and maintain SQL-based data pipelines for structured and unstructured data processing.
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Collaborate with full-stack developers to integrate AI solutions into production environments.
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Engage in project management and coordinate with stakeholders to deliver high-impact AI initiatives.
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Conduct research and contribute to R&D projects in AI and NLP.
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Work with programming languages such as JavaScript and C++ in a Linux environment to support AI model development.
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Proven experience in Natural Language Processing (NLP) and Machine Learning (ML).
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Strong understanding of LLMs, RAG, semantic search, and classification systems.
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Hands-on experience with SpaCy, Stanza, NLTK, SQL, and cloud computing technologies.
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Proficiency in JavaScript, C++, and Linux-based development.
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Experience with project management and R&D in AI/ML fields.
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Ability to work in a fast-paced, innovative environment and contribute to full-stack development projects