About this role
Accenture seeks a Large Language Model Architect to design large language models that process and generate natural language. The role involves defining model specifications, designing neural network parameters and architectures, and working with models trained on large quantities of unlabeled text.
Responsibilities
- Collaborate with data scientists, engineers and other teams to refine model architecture and improve performance.
- Experiment with model configurations and training methodologies; analyze performance metrics, troubleshoot issues and optimize output quality.
- Work independently, develop subject-matter expertise, contribute to team discussions and help solve work-related problems.
- Stay current with advances in natural language processing.
Requirements
- Proficiency in large language models, with a stated minimum of 3 years of LLM experience. The job header separately lists an experience range of 2–5 years.
- Strong understanding of neural network architectures and their NLP applications; experience preprocessing text data; familiarity with TensorFlow or PyTorch; and ability to interpret model performance metrics.
- 15 years of full-time education.
The listing header names Ahmedabad, while the additional information says the position is based at the Bengaluru office. The role is listed as full-time.
Skills for this role
Large Language Models (LLMs)Neural network architecturesNatural language processingText data preprocessingTensorFlowPyTorchModel performance analysis