Staff ML Engineer

Description: We are seeking a talented and experienced Deep Learning Engineer with a specialization in Large Language Models (LLMs) to join our dynamic team. The ideal candidate will have a deep understanding of state-of-the-art LLM architectures, such as GPT, BERT, and their variants, and a track record of applying these models to real-world applications. Responsibilities

• Implement state-of-the-art Large Language Models (LLMs) for natural language understanding and generation tasks
• Design and optimize LLM architectures to improve performance, scalability, and efficiency
• Collaborate with cross-functional teams to integrate LLMs into various applications and services
• Fine-tune pre-trained LLMs on domain-specific datasets to improve task performance
• Stay up-to-date with the latest research papers, techniques, and advancements in deep learning and related fields
• Strong software engineering and programming skills, and ability to quickly develop working prototypes from research ideas Requirements
• 3+ years of experience with a Master s, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field
• Proven experience in developing and deploying Large Language Models (LLMs), with a focus on architectures such as GPT, BERT, and their variants
• Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
• Solid understanding of natural language processing (NLP) fundamentals and techniques
• Experience with training and fine-tuning LLMs on large-scale datasets
• Proficient in one or more programming languages such as Python, Go and Java
• Knowledge of distributed training techniques and experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud)
• Excellent problem-solving skills and ability to work independently and in a team environment
• Strong communication and collaboration skills Xforia Inc