Overview

Key Responsibilities: Research & Development: Lead and contribute to research initiatives focused on generative models, particularly LLMs like GPT, BERT, T5, and cutting-edge transformer architectures.

Responsibilities

• Research & Development: Lead and contribute to research initiatives focused on generative models, particularly LLMs like GPT, BERT, T5, and cutting-edge transformer architectures.
• Model Design & Implementation: Design, implement, and optimize LLM architectures for text generation, completion, summarization, and other NLP tasks.
• Training & Fine-Tuning: Conduct training and fine-tuning of large-scale models on specialized datasets, leveraging up-to-date machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
• Deployment & Integration: Collaborate with engineering teams to integrate generative models into production systems and applications, ensuring the scalability, robustness, and efficiency of deployed models.
• Proficiency in programming languages like Python, and familiarity with libraries such as NumPy, Pandas, Scikit-learn, and others.
• Expertise in deep learning and machine learning algorithms, particularly in the context of generative models.
• Should have keen interest in AI-driven design tools.
• Generative AI Engineer specialized in Large Language Models (LLMs), you will work on developing, implementing, and optimizing state-of-the-art generative models that tackle a wide range of complex challenges in AI.
• Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.