- 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.